Tianqing Zhu

414 papers A* 12A 4B 11C 6Misc 1Journal 330Unranked 31
YearRankTypeTitle / Venue / Authors
2026 J jnl
AGCPM: An inter-Satellite link routing scheme for large-Scale LEO satellites.
Comput. Networks
Haowen Wu, Jia Duan, Xi Liu, Wei Ren, Dagang Li, Tianqing Zhu, Geyong Min
2026 J jnl
ARES: Scalable and Practical Gradient Inversion Attack in Federated Learning through Activation Recovery.
CoRR
Zirui Gong, Leo Yu Zhang, Yanjun Zhang, Viet Vo, Tianqing Zhu, Shirui Pan, Cong Wang
2026 J jnl
An imperceptible dynamic anticipated backdoor attack in federated learning.
J. Inf. Secur. Appl.
Yingqiang Xie, Wei Ren, Tianqing Zhu, Lianchong Zhang
2026 J jnl
Balance forgetting and remembering: An extension of machine unlearning for policy updates in machine learning-based access control.
Neurocomputing
Ningbo Liu, Jia Duan, Lianchong Zhang, Xi Liu, Wei Ren, Tianqing Zhu, Geyong Min
2026 J jnl
BrainGraphDiff: A framework for enhanced brain network analysis via adaptive subgraph generation.
Neural Networks
Jingye Tang, Tianqing Zhu, Wanlei Zhou, Wei Zhao
2026 J jnl
CASPER: Contrastive Approach for Smart Ponzi Scheme Detecter With More Negative Samples.
IEEE Trans. Dependable Secur. Comput.
Weijia Yang, Tian Lan, Leyuan Liu, Wei Chen, Tianqing Zhu, Sheng Wen, Xiaosong Zhang
2026 J jnl
Collusion-Resistant Multi-Replica Data Auditing With Optimized Metadata Generation.
IEEE Trans. Dependable Secur. Comput.
Yi Li, Jian Shen, Sai Ji, Sheng Wen, Tianqing Zhu, Yang Xiang
2026 J jnl
DSM-STWave: Enhancing traffic flow prediction for both offline and online scenarios.
Neurocomputing
Yinglan Liang, Sanyang Liu, Yiguang Bai, Yudong Gong, Tianqing Zhu
2026 J jnl
Digital Privacy Under Attack: Challenges and Enablers.
ACM Comput. Surv.
Baobao Song, Shiva Raj Pokhrel, Mengyue Deng, Qiujun Lan, Robin Ram Mohan Doss, Tianqing Zhu, Gang Li
2026 J jnl
Exact constrained-training neural networks for confidential 8-bit arithmetic primitives in code obfuscation.
J. Syst. Archit.
Ning Shi, Lei Xu, Tianqing Zhu, Wanlei Zhou, Weizhi Meng, Yu-an Tan
2026 J jnl
ForgeFinder: Perceptive Multimodal Deepfake Detection via Multi-grained Forgery Localization.
ACM Trans. Multim. Comput. Commun. Appl.
Baoping Liu, Bo Liu, Ming Ding, Tianqing Zhu
2026 J jnl
Forgetting Similar Samples: Can Machine Unlearning Do it Better?
CoRR
Heng Xu, Tianqing Zhu, Dayong Ye, Lefeng Zhang, Le Wang, Wanlei Zhou
2026 J jnl
Frequency Bias Matters: Diving Into Robust and Generalized Deep Image Forgery Detection.
IEEE Trans. Dependable Secur. Comput.
Chi Liu, Tianqing Zhu, Wanlei Zhou, Wei Zhao
2026 J jnl
From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration.
CoRR
Yizhe Xie, Congcong Zhu, Xinyue Zhang, Tianqing Zhu, Dayong Ye, Minfeng Qi, Huajie Chen, Wanlei Zhou
2026 J jnl
Graph neural networks for fMRI functional brain networks: A survey.
Neural Networks
Jingye Tang, Tianqing Zhu, Wanlei Zhou, Wei Zhao
2026 J jnl
Guided Collaboration in Heterogeneous LLM-Based Multi-Agent Systems via Entropy-Based Understanding Assessment and Experience Retrieval.
CoRR
Linlin Wang, Tianqing Zhu, Laiqiao Qin, Longxiang Gao, Wanlei Zhou
2026 J jnl
Hidden Threats in Federated Unlearning: Camouflaged Poisoning Attacks and Their Unlearning Consequences.
IEEE Trans. Dependable Secur. Comput.
Kun Gao, Tianqing Zhu, Dayong Ye, Bo Liu, Wanlei Zhou
2026 J jnl
Hide&Seek: Remove Image Watermarks with Negligible Cost via Pixel-wise Reconstruction.
CoRR
Huajie Chen, Tianqing Zhu, Hailin Yang, Yuchen Zhong, Yang Zhang, Hui Sun, Heng Xu, Zuobin Ying, Lihua Yin, Wanlei Zhou
2026 J jnl
IncentEn-Fed: An incentive-driven ensemble framework for heterogeneous federated learning.
J. Inf. Secur. Appl.
Yu Peng, Xiao Ma, Ping Xiong, Tianqing Zhu
2026 J jnl
Invisible watermarking framework for unlearned diffusion model in online service.
Neural Networks
Linlin Wang, Tianqing Zhu, Longxiang Gao, Wanlei Zhou
2026 — ed.
Knowledge Science, Engineering and Management - 18th International Conference, KSEM 2025, Macao, China, August 4-7, 2025, Proceedings, Part I
KSEM (1)
Tianqing Zhu, Wanlei Zhou, Congcong Zhu
2026 — ed.
Knowledge Science, Engineering and Management - 18th International Conference, KSEM 2025, Macao, China, August 4-7, 2025, Proceedings, Part II
KSEM (2)
Tianqing Zhu, Wanlei Zhou, Congcong Zhu
2026 — ed.
Knowledge Science, Engineering and Management - 18th International Conference, KSEM 2025, Macao, China, August 4-7, 2025, Proceedings, Part III
KSEM (3)
Tianqing Zhu, Wanlei Zhou, Congcong Zhu
2026 — ed.
Knowledge Science, Engineering and Management - 18th International Conference, KSEM 2025, Macao, China, August 4-7, 2025, Proceedings, Part IV
KSEM (4)
Tianqing Zhu, Wanlei Zhou, Congcong Zhu
2026 — ed.
Knowledge Science, Engineering and Management - 18th International Conference, KSEM 2025, Macao, China, August 4-7, 2025, Proceedings, Part V
KSEM (5)
Tianqing Zhu, Wanlei Zhou, Congcong Zhu
2026 — ed.
Knowledge Science, Engineering and Management - 18th International Conference, KSEM 2025, Macao, China, August 4-7, 2025, Proceedings, Part VI
KSEM (6)
Tianqing Zhu, Wanlei Zhou, Congcong Zhu
2026 J jnl
LLM-Based Data Augmentation Method in Reinforcement Learning With Machine-Unlearning and Fine-Tuning.
IEEE Trans. Big Data
Yunjiao Lei, Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
2026 J jnl
MOAT: Federated Learning-Based Method for Improved Detection of IoT Botnets.
IEEE Internet Things J.
Yangzong Zhang, Wenjian Liu, Tianqing Zhu
2026 J jnl
Multi-View Few-Shot Malware Classification With Support-Query Prototypes.
IEEE Trans. Dependable Secur. Comput.
Shuhong Chen, Hanjun Li, Sheng Wen, Guojun Wang, Tianqing Zhu, Yang Xiang
2026 J jnl
Osmosis Distillation: Model Hijacking with the Fewest Samples.
CoRR
Yuchen Shi, Huajie Chen, Heng Xu, Zhiquan Liu, Jialiang Shen, Chi Liu, Shuai Zhou, Tianqing Zhu, Wanlei Zhou
2026 J jnl
Poisoning the Pixels: Revisiting Backdoor Attacks on Semantic Segmentation.
CoRR
Guangsheng Zhang, Huan Tian, Leo Yu Zhang, Tianqing Zhu, Ming Ding, Wanlei Zhou, Bo Liu
2026 J jnl
Polyp image segmentation based on parallel dilated convolution and dual attention mechanisms.
Neural Networks
Shuhong Chen, Kairen Chen, Chenchen Wang, Zhili Zhou, Sheng Wen, Tianqing Zhu, Menglong Wu
2026 J jnl
Privacy-aware data processing and fair model trading protocols among un-trusted participants.
Inf. Sci.
Yining Tan, Ruoting Xiong, Haoran Qin, Yuxian Chen, Lianchong Zhang, Wei Ren, Tianqing Zhu
2026 J jnl
Really Unlearned? Verifying Machine Unlearning via Influential Sample Pairs.
IEEE Trans. Dependable Secur. Comput.
Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou
2026 A* conf
Rethinking Bias in Generative Data Augmentation for Medical AI: A Frequency Recalibration Method.
AAAI
Chi Liu, Jincheng Liu, Congcong Zhu, Minghao Wang, Sheng Shen, Jia Gu, Tianqing Zhu, Wanlei Zhou
2026 J jnl
SaURL-TS: A self-adaptive framework for unsupervised time series representation learning.
Pattern Recognit.
Yusen Liu, Zhichen Lai, Hua Lu, Xu Cheng, Tianqing Zhu, Xiufeng Liu, Huan Huo
2026 J jnl
SoK: Bitcoin Layer Two (L2).
ACM Comput. Surv.
Minfeng Qi, Qin Wang, Zhipeng Wang, Manvir Schneider, Tianqing Zhu, Shiping Chen, William Knottenbelt, Thomas Hardjono
2026 J jnl
T-MIA: A membership inference attack via timing side-channel and possible defense scheme.
Inf. Sci.
Kai Sheng, Faqian Guan, Wei Ren, Tianqing Zhu
2026 J jnl
The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies.
ACM Comput. Surv.
Feng He, Tianqing Zhu, Dayong Ye, Bo Liu, Wanlei Zhou, Philip S. Yu
2026 J jnl
Toward Transparent and Incentive-Compatible Collaboration in Decentralized LLM Multi-Agent Systems: A Blockchain-Driven Approach.
IEEE Trans. Netw. Sci. Eng.
Minfeng Qi, Tianqing Zhu, Lefeng Zhang, Ningran Li, Yu-an Tan, Wanlei Zhou
2026 J jnl
Turning Black Box into White Box: Dataset Distillation Leaks.
CoRR
Huajie Chen, Tianqing Zhu, Yuchen Zhong, Yang Zhang, Shang Wang, Feng He, Lefeng Zhang, Jialiang Shen, Minghao Wang, Wanlei Zhou
2026 J jnl
Unique Security and Privacy Threats of Large Language Models: A Comprehensive Survey.
ACM Comput. Surv.
Shang Wang, Tianqing Zhu, Bo Liu, Ming Ding, Dayong Ye, Wanlei Zhou, Philip S. Yu
2026 J jnl
WebShell detection based on deep residual network.
Empir. Softw. Eng.
Fucai Yu, Xusheng Li, Ziqiang Chang, Gaolei Fei, Yong Ding, Tianqing Zhu, Xuemeng Zhai
2026 J jnl
When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?
IEEE Trans. Dependable Secur. Comput.
Shang Wang, Tianqing Zhu, Dayong Ye, Wanlei Zhou
2025 — conf
A Lightweight Transformation Method for Privacy Protection in Image Classification.
WASA (3)
Jiahao Liu, Wei Ren, Yifei Cai, Wenmao Liu, Xianchao Zhang, Tianqing Zhu
2025 J jnl
A Provably Secure Certificateless Signature Scheme With Anonymity for Healthcare IIoT.
IEEE Internet Things J.
Zirui Qiao, Ran Xu, Yanwei Zhou, Bo Yang, Tianqing Zhu, Mingwu Zhang
2025 J jnl
A Review of Deepfake and Its Detection: From Generative Adversarial Networks to Diffusion Models.
Int. J. Intell. Syst.
Baoping Liu, Bo Liu, Tianqing Zhu, Ming Ding
2025 J jnl
A blockchain and signature based scheme for cross-domain authentication with decentralized identity.
Comput. Stand. Interfaces
Zinuo Zhang, Wei Ren, Xianchao Zhang, Yani Sun, Tianqing Zhu, Kim-Kwang Raymond Choo
2025 J jnl
A multi-view privacy-preserving knowledge distillation method with adversarial training and differential privacy.
Inf. Sci.
Jiayun Wu, Wei Ren, Lianchong Zhang, Xianchao Zhang, Tianqing Zhu
2025 J jnl
A novel dictionary attack on ECG authentication system using adversarial optimization and clustering.
Knowl. Based Syst.
Bonan Zhang, Lin Li, Chao Chen, Ickjai Lee, Kyungmi Lee, Tianqing Zhu, Kok-Leong Ong
2025 J jnl
A scalable and semi-supervised approach for Ethereum fraud detection using Graph Neural Networks and K-Nearest Neighbors clustering.
J. Inf. Secur. Appl.
Hao Zhang, Yunfei Li, Tianqing Zhu, Changzhou Han, Sheng Wen, Yang Xiang
2025 J jnl
A survey on machine unlearning: Techniques and new emerged privacy risks.
J. Inf. Secur. Appl.
Hengzhu Liu, Ping Xiong, Tianqing Zhu, Philip S. Yu
2025 J jnl
AFed: Algorithmic Fair Federated Learning.
CoRR
Huiqiang Chen, Tianqing Zhu, Wanlei Zhou, Wei Zhao
2025 J jnl
AFed: Algorithmic Fair Federated Learning.
IEEE Trans. Neural Networks Learn. Syst.
Huiqiang Chen, Tianqing Zhu, Wanlei Zhou, Wei Zhao
2025 J jnl
AICAttack: Adversarial Image Captioning Attack with Attention-based Optimization.
Mach. Intell. Res.
Jiyao Li, Mingze Ni, Yifei Dong, Tianqing Zhu, Yongshun Gong, Wei Liu
2025 — ed.
Algorithms and Architectures for Parallel Processing - 24th International Conference, ICA3PP 2024, Macau, China, October 29-31, 2024, Proceedings, Part I
ICA3PP (1)
Tianqing Zhu, Jin Li, Aniello Castiglione
2025 — ed.
Algorithms and Architectures for Parallel Processing - 24th International Conference, ICA3PP 2024, Macau, China, October 29-31, 2024, Proceedings, Part II
ICA3PP (2)
Tianqing Zhu, Jin Li, Aniello Castiglione
2025 — ed.
Algorithms and Architectures for Parallel Processing - 24th International Conference, ICA3PP 2024, Macau, China, October 29-31, 2024, Proceedings, Part III
ICA3PP (3)
Tianqing Zhu, Jin Li, Aniello Castiglione
2025 — ed.
Algorithms and Architectures for Parallel Processing - 24th International Conference, ICA3PP 2024, Macau, China, October 29-31, 2024, Proceedings, Part IV
ICA3PP (4)
Tianqing Zhu, Jin Li, Aniello Castiglione
2025 — ed.
Algorithms and Architectures for Parallel Processing - 24th International Conference, ICA3PP 2024, Macau, China, October 29-31, 2024, Proceedings, Part V
ICA3PP (5)
Tianqing Zhu, Jin Li, Aniello Castiglione
2025 — ed.
Algorithms and Architectures for Parallel Processing - 24th International Conference, ICA3PP 2024, Macau, China, October 29-31, 2024, Proceedings, Part VI
ICA3PP (6)
Tianqing Zhu, Jin Li, Aniello Castiglione
2025 J jnl
An Efficient Pairing-Free Certificateless Signcryption Scheme Under the Standard Model for VANET.
IEEE Internet Things J.
Xianxiang Liu, Yanwei Zhou, Bo Yang, Tianqing Zhu, Mingwu Zhang
2025 J jnl
Artificial intelligence security and privacy: a survey.
Sci. China Inf. Sci.
Xinlei He, Guowen Xu, Xingshuo Han, Qian Wang, Lingchen Zhao, Chao Shen, Chenhao Lin, Zhengyu Zhao, Qian Li, Le Yang, Shouling Ji, Shaofeng Li, Haojin Zhu, Zhibo Wang, Rui Zheng, Tianqing Zhu, Qi Li, Chaoxiang He, Qifan Wang, Hongsheng Hu, Shuo Wang, Shi-Feng Sun, Hongwei Yao, Qinyu Zhang, Kai Chen, Yue Zhao, Hongwei Li, Xinyi Huang, Dengguo Feng
2025 J jnl
Attention-Based Membership Inference Attacks on Graph Neural Network Through Topological Features.
IEEE Trans. Dependable Secur. Comput.
Faqian Guan, Tianqing Zhu, Hanjin Tong, Wanlei Zhou
2025 J jnl
Average and Strict GAN-Based Reconstruction for Adversarial Example Detection.
IEEE Trans. Dependable Secur. Comput.
Hui Sun, Tianqing Zhu, Jie Li, Wanlei Zhou
2025 A conf
BRC20 Snipping Attack.
AsiaCCS
Minfeng Qi, Qin Wang, Ningran Li, Shiping Chen, Tianqing Zhu
2025 J jnl
BRC20 Snipping Attack.
CoRR
Minfeng Qi, Qin Wang, Ningran Li, Shiping Chen, Tianqing Zhu
2025 J jnl
Backdoor Defense for Text Encoders in Text-to-Image Generative Models.
IEEE Trans. Dependable Secur. Comput.
Siman Wu, Hui Sun, Tianqing Zhu, Wanlei Zhou
2025 J jnl
Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs.
CoRR
Linlin Wang, Tianqing Zhu, Laiqiao Qin, Longxiang Gao, Wanlei Zhou
2025 J jnl
Black-Box Auditing of Quantum Model: Lifted Differential Privacy with Quantum Canaries.
CoRR
Baobao Song, Shiva Raj Pokhrel, Athanasios V. Vasilakos, Tianqing Zhu, Gang Li
2025 J jnl
CASPER: Contrastive Approach for Smart Ponzi Scheme Detecter with More Negative Samples.
CoRR
Weijia Yang, Tian Lan, Leyuan Liu, Wei Chen, Tianqing Zhu, Sheng Wen, Xiaosong Zhang
2025 — conf
Causal Discovery with Inverted Self-attention for Multivariate Time Series.
PAKDD (4)
Yusen Liu, Yong Wang, Yifan Yin, Tianqing Zhu, Xiufeng Liu, Huan Huo
2025 J jnl
Chain-of-Lure: A Synthetic Narrative-Driven Approach to Compromise Large Language Models.
CoRR
Wenhan Chang, Tianqing Zhu, Yu Zhao, Shuangyong Song, Ping Xiong, Wanlei Zhou, Yongxiang Li
2025 A* conf
Codebreaker: Dynamic Extraction Attacks on Code Language Models.
SP
Changzhou Han, Zehang Deng, Wanlun Ma, Xiaogang Zhu, Minhui Xue, Tianqing Zhu, Sheng Wen, Yang Xiang
2025 J jnl
Cooperating or Kicking Out: Defending Against Poisoning Attacks in Federated Learning via the Evolution of Cooperation.
IEEE Trans. Dependable Secur. Comput.
Dayong Ye, Tianqing Zhu, Kun Gao, Congcong Zhu, Wanlei Zhou
2025 A* conf
Cross-Modal Prompt Inversion: Unifying Threats to Text and Image Generative AI Models.
USENIX Security Symposium
Dayong Ye, Tianqing Zhu, Feng He, Bo Liu, Minhui Xue, Wanlei Zhou
2025 J jnl
CyberLLaMA: A fine-tuned large language model for cybersecurity named entity recognition.
Knowl. Based Syst.
Hao Zhang, Tingmin Wu, Tianqing Zhu, Sheng Wen, Yang Xiang
2025 A* conf
Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning.
USENIX Security Symposium
Dayong Ye, Tianqing Zhu, Jiayang Li, Kun Gao, Bo Liu, Leo Yu Zhang, Wanlei Zhou, Yang Zhang
2025 A* conf
Data-Free Model-Related Attacks: Unleashing the Potential of Generative AI.
USENIX Security Symposium
Dayong Ye, Tianqing Zhu, Shang Wang, Bo Liu, Leo Yu Zhang, Wanlei Zhou, Yang Zhang
2025 J jnl
Data-Free Model-Related Attacks: Unleashing the Potential of Generative AI.
CoRR
Dayong Ye, Tianqing Zhu, Shang Wang, Bo Liu, Leo Yu Zhang, Wanlei Zhou, Yang Zhang
2025 J jnl
Defending Against Neural Network Model Inversion Attacks via Data Poisoning.
IEEE Trans. Neural Networks Learn. Syst.
Shuai Zhou, Dayong Ye, Tianqing Zhu, Wanlei Zhou
2025 J jnl
Distilling Fair Representations From Fair Teachers.
IEEE Trans. Big Data
Huan Tian, Bo Liu, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
2025 J jnl
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers.
CoRR
Huan Tian, Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou
2025 J jnl
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers.
IEEE Trans. Dependable Secur. Comput.
Huan Tian, Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou
2025 J jnl
Does GenAI Rewrite How We Write? An Empirical Study on Two-Million Preprints.
CoRR
Minfeng Qi, Zhongmin Cao, Qin Wang, Ningran Li, Tianqing Zhu
2025 J jnl
Don't Forget Too Much: Towards Machine Unlearning on Feature Level.
IEEE Trans. Dependable Secur. Comput.
Heng Xu, Tianqing Zhu, Wanlei Zhou, Wei Zhao
2025 J jnl
DreamCar: Leveraging Car-Specific Prior for In-the-Wild 3D Car Reconstruction.
IEEE Robotics Autom. Lett.
Xiaobiao Du, Haiyang Sun, Ming Lu, Tianqing Zhu, Xin Yu
2025 J jnl
EIP-7702 Phishing Attack.
CoRR
Minfeng Qi, Qin Wang, Ruiqiang Li, Tianqing Zhu, Shiping Chen
2025 J jnl
Enhancing Federated Learning With Differentially Private Continuous Data Release via k-Ary Trees.
IEEE Trans. Inf. Forensics Secur.
Jianping Cai, Tianqing Zhu, Qingqing Ye, Zuobin Ying, Wanlei Zhou
2025 J jnl
Everything Distributed and Asynchronous: A Practical System for Key Management Service.
IEEE Trans. Parallel Distributed Syst.
Zhaoyang Xie, Haibin Zhang, Sisi Duan, Chao Liu, Shengli Liu, Xuanji Meng, Yong Yu, Fangguo Zhang, Boxin Zhao, Liehuang Zhu, Tianqing Zhu
2025 B conf
Feature Machine Unlearning in Diffusion Models.
NSS
Linlin Wang, Tianqing Zhu, Laiqiao Qin, Lihua Yin, Wanlei Zhou
2025 J jnl
Federated Learning With Blockchain-Enhanced Machine Unlearning: A Trustworthy Approach.
IEEE Trans. Serv. Comput.
Xuhan Zuo, Minghao Wang, Tianqing Zhu, Lefeng Zhang, Shui Yu, Wanlei Zhou
2025 J jnl
Federated Unlearning With Reinforcement Learning: Adaptive Privacy Preservation for Clients.
J. Inf. Secur. Appl.
Kun Gao, Tianqing Zhu, Dayong Ye, Longxiang Gao, Wanlei Zhou
2025 J jnl
Fine-Tuning a Biased Model for Improving Fairness.
IEEE Trans. Big Data
Huiqiang Chen, Tianqing Zhu, Bo Liu, Wanlei Zhou, Philip S. Yu
2025 J jnl
FingerCap: Fine-grained Finger-level Hand Motion Captioning.
CoRR
Xin Shen, Rui Zhu, Lei Shen, Xinyu Wang, Kaihao Zhang, Tianqing Zhu, Shuchen Wu, Chenxi Miao, Weikang Li, Yang Li, Deguo Xia, Jizhou Huang, Xin Yu
2025 J jnl
Frequency Bias Matters: Diving into Robust and Generalized Deep Image Forgery Detection.
CoRR
Chi Liu, Tianqing Zhu, Wanlei Zhou, Wei Zhao
2025 J jnl
Game-Theoretic Machine Unlearning: Mitigating Extra Privacy Leakage.
IEEE Trans. Inf. Forensics Secur.
Hengzhu Liu, Tianqing Zhu, Lefeng Zhang, Ping Xiong
2025 J jnl
Generative Adversarial Networks Unlearning.
IEEE Trans. Dependable Secur. Comput.
Hui Sun, Tianqing Zhu, Wenhan Chang, Wanlei Zhou
2025 J jnl
Graph Unlearning: Efficient Node Removal in Graph Neural Networks.
CoRR
Faqian Guan, Tianqing Zhu, Zhoutian Wang, Wei Ren, Wanlei Zhou
2025 J jnl
ID-HFL: Incentive-driven heterogeneous federated learning based on game theory and differential privacy.
Knowl. Based Syst.
Huanhuan Chi, Zhenni Liu, Xiaming Tu, Ping Xiong, Tianqing Zhu
2025 J jnl
Knowledge Distillation in Federated Learning: A Survey on Long Lasting Challenges and New Solutions.
Int. J. Intell. Syst.
Laiqiao Qin, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
2025 J jnl
Large Language Models Merging for Enhancing the Link Stealing Attack on Graph Neural Networks.
IEEE Trans. Dependable Secur. Comput.
Faqian Guan, Tianqing Zhu, Wenhan Chang, Wei Ren, Wanlei Zhou
2025 J jnl
Large Language Models for Link Stealing Attacks Against Graph Neural Networks.
IEEE Trans. Big Data
Faqian Guan, Tianqing Zhu, Hui Sun, Wanlei Zhou, Philip S. Yu
2025 J jnl
Linkage on security, privacy and fairness in federated learning: New balances and new perspectives.
Neural Networks
Linlin Wang, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
2025 J jnl
MARS: A Malignity-Aware Backdoor Defense in Federated Learning.
CoRR
Wei Wan, Yuxuan Ning, Zhicong Huang, Cheng Hong, Shengshan Hu, Ziqi Zhou, Yechao Zhang, Tianqing Zhu, Wanlei Zhou, Leo Yu Zhang
2025 A* conf
MDAM
WWW
Qingzheng Xu, Heming Du, Szymon Lukasik, Tianqing Zhu, Sen Wang, Xin Yu
2025 — conf
MOAT: A Multi-objective Approach to Federated IoT Botnet Detection.
KSEM (4)
Yangzong Zhang, Wenjian Liu, Bin Shi, Tianqing Zhu
2025 — conf
MarkErase: Defeating Entangled Watermarks in Model Extraction Attacks.
PAKDD (4)
Teng Fei, Xinjing Liu, Yanjun Zhang, Haizhuan Yuan, Tianqing Zhu, Leo Yu Zhang
2025 J jnl
Model Inversion Attack Against Transfer Learning: Inverting a Model Without Querying It.
IEEE Trans. Dependable Secur. Comput.
Dayong Ye, Huiqiang Chen, Shuai Zhou, Tianqing Zhu, Wanlei Zhou, Shouling Ji
2025 J jnl
Modeling and Mitigating Social Engineering Malware: Integrating Malware-Opinion Dynamics With Optimal Impulse Control Approaches.
IEEE Trans. Inf. Forensics Secur.
Xiaojuan Cheng, Lu-Xing Yang, Gang Li, Zenan Ma, Tianqing Zhu, Lidan Wang, Shukai Duan
2025 J jnl
MultiFair: Model Fairness With Multiple Sensitive Attributes.
IEEE Trans. Neural Networks Learn. Syst.
Huan Tian, Bo Liu, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
2025 J jnl
PmiaNLL: Defending against poisoning membership inference attacks with noisy label learning.
Knowl. Based Syst.
Jian Li, Xiaochun Yang, Wanlun Ma, Bin Wang, Tianqing Zhu, Sheng Wen, Yang Xiang
2025 J jnl
QUEEN: Query Unlearning Against Model Extraction.
IEEE Trans. Inf. Forensics Secur.
Huajie Chen, Tianqing Zhu, Lefeng Zhang, Bo Liu, Derui Wang, Wanlei Zhou, Minhui Xue
2025 — conf
RAGLeak: Membership Inference Attacks on RAG-Based Large Language Models.
ACISP (3)
Kaiyue Feng, Guangsheng Zhang, Huan Tian, Heng Xu, Yanjun Zhang, Tianqing Zhu, Ming Ding, Bo Liu
2025 J jnl
ROSIN: Robust Semantic Image Hiding Network.
Knowl. Based Syst.
Yuan Zhao, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou
2025 J jnl
Recovering Fairness Directly from Modularity: a New Way for Fair Community Partitioning.
CoRR
Yufeng Wang, Yiguang Bai, Tianqing Zhu, Ismail Ben Ayed, Jing Yuan
2025 A* conf
Reinforcement Unlearning.
NDSS
Dayong Ye, Tianqing Zhu, Congcong Zhu, Derui Wang, Kun Gao, Zewei Shi, Sheng Shen, Wanlei Zhou, Minhui Xue
2025 J jnl
Reprogramming Vision Foundation Models for Spatio-Temporal Forecasting.
CoRR
Changlu Chen, Yanbin Liu, Chaoxi Niu, Ling Chen, Tianqing Zhu
2025 J jnl
Rethinking Bias in Generative Data Augmentation for Medical AI: a Frequency Recalibration Method.
CoRR
Chi Liu, Jincheng Liu, Congcong Zhu, Minghao Wang, Sheng Shen, Jia Gu, Tianqing Zhu, Wanlei Zhou
2025 — conf
RetinaGuard: Obfuscating Retinal Age in Fundus Images for Biometric Privacy Preserving.
BIBM
Zhengquan Luo, Chi Liu, Dongfu Xiao, Zhen Yu, Yueye Wang, Tianqing Zhu
2025 J jnl
RetinaGuard: Obfuscating Retinal Age in Fundus Images for Biometric Privacy Preserving.
CoRR
Zhengquan Luo, Chi Liu, Dongfu Xiao, Zhen Yu, Yueye Wang, Tianqing Zhu
2025 — conf
Robust and Privacy-Preserving Dynamic Average Consensus with Individual Weight.
ACISP (3)
Yuanyuan Zhang, Yu Liu, Yahui Wang, Tianqing Zhu, Mingwu Zhang
2025 J jnl
Safe and Reliable Diffusion Models via Subspace Projection.
CoRR
Huiqiang Chen, Tianqing Zhu, Linlin Wang, Xin Yu, Longxiang Gao, Wanlei Zhou
2025 J jnl
SpatialIE: Towards adaptive floating waste detection in unpredictable weather.
Knowl. Based Syst.
Yifan Yin, Xiufeng Liu, Xu Cheng, Yusen Liu, Tianqing Zhu, Huan Huo
2025 J jnl
Stand-in Model Protection: Synthetic defense for membership inference and model inversion attacks.
Knowl. Based Syst.
Huajie Chen, Tianqing Zhu, Shouling Ji, Wanlei Zhou
2025 J jnl
The Frontier of Data Erasure: A Survey on Machine Unlearning for Large Language Models.
Computer
Youyang Qu, Ming Ding, Nan Sun, Kanchana Thilakarathna, Tianqing Zhu, Dusit Niyato
2025 J jnl
The Price of Unlearning: Identifying Unlearning Risk in Edge Computing.
ACM Trans. Multim. Comput. Commun. Appl.
Lefeng Zhang, Tianqing Zhu, Ping Xiong, Wanlei Zhou
2025 J jnl
The evolution of cooperation in continuous dilemmas via multi-agent reinforcement learning.
Knowl. Based Syst.
Congcong Zhu, Dayong Ye, Tianqing Zhu, Wanlei Zhou
2025 J jnl
Topology-Based Node-Level Membership Inference Attacks on Graph Neural Networks.
IEEE Trans. Big Data
Faqian Guan, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
2025 J jnl
Toward Efficient Target-Level Machine Unlearning Based on Essential Graph.
IEEE Trans. Neural Networks Learn. Syst.
Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Wei Zhao
2025 J jnl
Toward a Hybrid Quantum Differential Privacy.
IEEE J. Sel. Areas Commun.
Baobao Song, Shiva Raj Pokhrel, Athanasios V. Vasilakos, Tianqing Zhu, Gang Li
2025 J jnl
Towards A Hybrid Quantum Differential Privacy.
CoRR
Baobao Song, Shiva Raj Pokhrel, Athanasios V. Vasilakos, Tianqing Zhu, Gang Li
2025 J jnl
Towards Transparent and Incentive-Compatible Collaboration in Decentralized LLM Multi-Agent Systems: A Blockchain-Driven Approach.
CoRR
Minfeng Qi, Tianqing Zhu, Lefeng Zhang, Ningran Li, Wanlei Zhou
2025 — conf
TrashTracer: Enabling Efficient Real-Time Detection of Underwater Marine Debris.
AI (2)
Yifan Yin, Xiufeng Liu, Xu Cheng, Hua Zuo, Ling Chen, Tianqing Zhu, Huan Huo
2025 J jnl
Trojan Attack on Machine Unlearning: Security Risk of the Right to be Forgotten.
IEEE Trans. Dependable Secur. Comput.
Lefeng Zhang, Tianqing Zhu, Ping Xiong, Wanlei Zhou
2025 J jnl
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation.
IEEE Trans. Big Data
Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu
2025 J jnl
Vertical Federated Unlearning via Backdoor Certification.
IEEE Trans. Serv. Comput.
Mengde Han, Tianqing Zhu, Lefeng Zhang, Huan Huo, Wanlei Zhou
2025 J jnl
When Harmless Words Harm: A New Threat to LLM Safety via Conceptual Triggers.
CoRR
Zhaoxin Zhang, Borui Chen, Yiming Hu, Youyang Qu, Tianqing Zhu, Longxiang Gao
2025 J jnl
Who's the Mole? Modeling and Detecting Intention-Hiding Malicious Agents in LLM-Based Multi-Agent Systems.
CoRR
Yizhe Xie, Congcong Zhu, Xinyue Zhang, Minghao Wang, Chi Liu, Minglu Zhu, Tianqing Zhu
2025 A* conf
Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation.
IJCAI
Huiqiang Chen, Tianqing Zhu, Xin Yu, Wanlei Zhou
2025 J jnl
Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation.
CoRR
Huiqiang Chen, Tianqing Zhu, Xin Yu, Wanlei Zhou
2024 J jnl
3DRealCar: An In-the-wild RGB-D Car Dataset with 360-degree Views.
CoRR
Xiaobiao Du, Haiyang Sun, Shuyun Wang, Zhuojie Wu, Hongwei Sheng, Jiaying Ying, Ming Lu, Tianqing Zhu, Kun Zhan, Xin Yu
2024 J jnl
A Concurrent Federated Reinforcement Learning for IoT Resources Allocation With Local Differential Privacy.
IEEE Internet Things J.
Wei Zhou, Tianqing Zhu, Dayong Ye, Wei Ren, Kim-Kwang Raymond Choo
2024 J jnl
A GNN-based teacher-student framework with multi-advice.
Expert Syst. Appl.
Yunjiao Lei, Dayong Ye, Congcong Zhu, Sheng Shen, Wanlei Zhou, Tianqing Zhu
2024 J jnl
A Survey on MLLMs in Education: Application and Future Directions.
Future Internet
Weicheng Xing, Tianqing Zhu, Jenny Wang, Bo Liu
2024 J jnl
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks.
CoRR
Hengzhu Liu, Ping Xiong, Tianqing Zhu, Philip S. Yu
2024 J jnl
A federated advisory teacher-student framework with simultaneous learning agents.
Knowl. Based Syst.
Yunjiao Lei, Dayong Ye, Tianqing Zhu, Wanlei Zhou
2024 J jnl
A location-based advising method in teacher-student frameworks.
Knowl. Based Syst.
Congcong Zhu, Dayong Ye, Huan Huo, Wanlei Zhou, Tianqing Zhu
2024 J jnl
A realistic model extraction attack against graph neural networks.
Knowl. Based Syst.
Faqian Guan, Tianqing Zhu, Hanjin Tong, Wanlei Zhou
2024 J jnl
A two-stage model extraction attack on GANs with a small collected dataset.
Comput. Secur.
Hui Sun, Tianqing Zhu, Wenhan Chang, Wanlei Zhou
2024 J jnl
AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization.
CoRR
Jiyao Li, Mingze Ni, Yifei Dong, Tianqing Zhu, Wei Liu
2024 J jnl
AdvEWM: Generating image adversarial examples by embedding digital watermarks.
J. Inf. Secur. Appl.
Yuexin Xiang, Tiantian Li, Wei Ren, Jie He, Tianqing Zhu, Kim-Kwang Raymond Choo
2024 J jnl
Attribute-Based Membership Inference Attacks and Defenses on GANs.
IEEE Trans. Dependable Secur. Comput.
Hui Sun, Tianqing Zhu, Jie Li, Shouling Ji, Wanlei Zhou
2024 J jnl
BRC20 Pinning Attack.
CoRR
Minfeng Qi, Qin Wang, Zhipeng Wang, Lin Zhong, Tianqing Zhu, Shiping Chen, William Knottenbelt
2024 J jnl
Blockchain-Based Gradient Inversion and Poisoning Defense for Federated Learning.
IEEE Internet Things J.
Minghao Wang, Tianqing Zhu, Xuhan Zuo, Dayong Ye, Shui Yu, Wanlei Zhou
2024 J jnl
Blockchain-Empowered Multiagent Systems: Advancing IoT Security and Transaction Efficiency.
IEEE Internet Things J.
Minghao Wang, Tianqing Zhu, Xuhan Zuo, Dayong Ye, Shui Yu, Wanlei Zhou
2024 J jnl
Boosting Model Inversion Attacks With Adversarial Examples.
IEEE Trans. Dependable Secur. Comput.
Shuai Zhou, Tianqing Zhu, Dayong Ye, Xin Yu, Wanlei Zhou
2024 J jnl
Class Machine Unlearning for Complex Data via Concepts Inference and Data Poisoning.
CoRR
Wenhan Chang, Tianqing Zhu, Heng Xu, Wenjian Liu, Wanlei Zhou
2024 J jnl
Defending Against Label-Only Attacks via Meta-Reinforcement Learning.
IEEE Trans. Inf. Forensics Secur.
Dayong Ye, Tianqing Zhu, Kun Gao, Wanlei Zhou
2024 J jnl
Defending Against Neural Network Model Inversion Attacks via Data Poisoning.
CoRR
Shuai Zhou, Dayong Ye, Tianqing Zhu, Wanlei Zhou
2024 J jnl
Defending against gradient inversion attacks in federated learning via statistical machine unlearning.
Knowl. Based Syst.
Kun Gao, Tianqing Zhu, Dayong Ye, Wanlei Zhou
2024 — conf
Defense Against Graph Injection Attack in Graph Neural Networks.
DSC
Hanjin Tong, Tianqing Zhu, Faqian Guan, Wanlei Zhou
2024 — conf
Detection of Diffusion Model-Generated Faces by Assessing Smoothness and Noise Tolerance.
BMSB
Baoping Liu, Bo Liu, Ming Ding, Tianqing Zhu
2024 J jnl
Disentangling different levels of GAN fingerprints for task-specific forensics.
Comput. Stand. Interfaces
Chi Liu, Tianqing Zhu, Yuan Zhao, Jun Zhang, Wanlei Zhou
2024 J jnl
Don't Forget Too Much: Towards Machine Unlearning on Feature Level.
CoRR
Heng Xu, Tianqing Zhu, Wanlei Zhou, Wei Zhao
2024 J jnl
DreamCar: Leveraging Car-specific Prior for in-the-wild 3D Car Reconstruction.
CoRR
Xiaobiao Du, Haiyang Sun, Ming Lu, Tianqing Zhu, Xin Yu
2024 C conf
Enhancing Portability in Deep Learning-Based Side-Channel Attacks Against Kyber.
ISPEC
Peng Chen, Chi Cheng, Jinnuo Li, Tianqing Zhu
2024 J jnl
Evaluating of Machine Unlearning: Robustness Verification Without Prior Modifications.
CoRR
Heng Xu, Tianqing Zhu, Wanlei Zhou
2024 J jnl
Fair Federated Learning with Opposite GAN.
Knowl. Based Syst.
Mengde Han, Tianqing Zhu, Wanlei Zhou
2024 J jnl
Federated Learning with Blockchain-Enhanced Machine Unlearning: A Trustworthy Approach.
CoRR
Xuhan Zuo, Minghao Wang, Tianqing Zhu, Lefeng Zhang, Shui Yu, Wanlei Zhou
2024 J jnl
Federated TrustChain: Blockchain-Enhanced LLM Training and Unlearning.
CoRR
Xuhan Zuo, Minghao Wang, Tianqing Zhu, Lefeng Zhang, Dayong Ye, Shui Yu, Wanlei Zhou
2024 J jnl
Game-Theoretic Machine Unlearning: Mitigating Extra Privacy Leakage.
CoRR
Hengzhu Liu, Tianqing Zhu, Lefeng Zhang, Ping Xiong
2024 J jnl
Gradient-based defense methods for data leakage in vertical federated learning.
Comput. Secur.
Wenhan Chang, Tianqing Zhu
2024 J jnl
Graph neural networks: a survey on the links between privacy and security.
Artif. Intell. Rev.
Faqian Guan, Tianqing Zhu, Wanlei Zhou, Kim-Kwang Raymond Choo
2024 J jnl
High-Frequency Matters: Attack and Defense for Image-Processing Model Watermarking.
IEEE Trans. Serv. Comput.
Huajie Chen, Tianqing Zhu, Chi Liu, Shui Yu, Wanlei Zhou
2024 A* conf
How Does a Deep Learning Model Architecture Impact Its Privacy? A Comprehensive Study of Privacy Attacks on CNNs and Transformers.
USENIX Security Symposium
Guangsheng Zhang, Bo Liu, Huan Tian, Tianqing Zhu, Ming Ding, Wanlei Zhou
2024 J jnl
Hybrid resampling and weighted majority voting for multi-class anomaly detection on imbalanced malware and network traffic data.
Eng. Appl. Artif. Intell.
Liang Xue, Tianqing Zhu
2024 — ed.
Information Security and Privacy - 29th Australasian Conference, ACISP 2024, Sydney, NSW, Australia, July 15-17, 2024, Proceedings, Part I
ACISP (1)
Tianqing Zhu, Yannan Li
2024 — ed.
Information Security and Privacy - 29th Australasian Conference, ACISP 2024, Sydney, NSW, Australia, July 15-17, 2024, Proceedings, Part II
ACISP (2)
Tianqing Zhu, Yannan Li
2024 — ed.
Information Security and Privacy - 29th Australasian Conference, ACISP 2024, Sydney, NSW, Australia, July 15-17, 2024, Proceedings, Part III
ACISP (3)
Tianqing Zhu, Yannan Li
2024 J jnl
Inversion-Guided Defense: Detecting Model Stealing Attacks by Output Inverting.
IEEE Trans. Inf. Forensics Secur.
Shuai Zhou, Tianqing Zhu, Dayong Ye, Wanlei Zhou, Wei Zhao
2024 J jnl
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions.
CoRR
Laiqiao Qin, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
2024 J jnl
Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration.
CoRR
Xuhan Zuo, Minghao Wang, Tianqing Zhu, Shui Yu, Wanlei Zhou
2024 J jnl
Large Language Models Merging for Enhancing the Link Stealing Attack on Graph Neural Networks.
CoRR
Faqian Guan, Tianqing Zhu, Wenhan Chang, Wei Ren, Wanlei Zhou
2024 J jnl
Large Language Models for Link Stealing Attacks Against Graph Neural Networks.
CoRR
Faqian Guan, Tianqing Zhu, Hui Sun, Wanlei Zhou, Philip S. Yu
2024 J jnl
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives.
CoRR
Linlin Wang, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
2024 J jnl
Local differential privacy and its applications: A comprehensive survey.
Comput. Stand. Interfaces
Mengmeng Yang, Taolin Guo, Tianqing Zhu, Ivan Tjuawinata, Jun Zhao, Kwok-Yan Lam
2024 J jnl
Location-Based Real-Time Updated Advising Method for Traffic Signal Control.
IEEE Internet Things J.
Congcong Zhu, Dayong Ye, Tianqing Zhu, Wanlei Zhou
2024 J jnl
M3A: A multimodal misinformation dataset for media authenticity analysis.
Comput. Vis. Image Underst.
Qingzheng Xu, Huiqiang Chen, Heming Du, Hu Zhang, Szymon Lukasik, Tianqing Zhu, Xin Yu
2024 J jnl
Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA.
CoRR
Laiqiao Qin, Tianqing Zhu, Linlin Wang, Wanlei Zhou
2024 A* conf
Machine Unlearning via Null Space Calibration.
IJCAI
Huiqiang Chen, Tianqing Zhu, Xin Yu, Wanlei Zhou
2024 J jnl
Machine Unlearning via Null Space Calibration.
CoRR
Huiqiang Chen, Tianqing Zhu, Xin Yu, Wanlei Zhou
2024 J jnl
Machine Unlearning: A Survey.
ACM Comput. Surv.
Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu
2024 J jnl
MeST-Former: Motion-enhanced Spatiotemporal Transformer for generalizable Deepfake detection.
Neurocomputing
Baoping Liu, Bo Liu, Ming Ding, Tianqing Zhu
2024 J jnl
New Emerged Security and Privacy of Pre-trained Model: a Survey and Outlook.
CoRR
Mengmeng Yang, Tianqing Zhu, Chi Liu, Wanlei Zhou, Shui Yu, Philip S. Yu
2024 J jnl
PPFed: A Privacy-Preserving and Personalized Federated Learning Framework.
IEEE Internet Things J.
Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou
2024 J jnl
Privacy and Fairness in Federated Learning: On the Perspective of Tradeoff.
ACM Comput. Surv.
Huiqiang Chen, Tianqing Zhu, Tao Zhang, Wanlei Zhou, Philip S. Yu
2024 J jnl
Privacy preservation in deep reinforcement learning: A training perspective.
Knowl. Based Syst.
Sheng Shen, Dayong Ye, Tianqing Zhu, Wanlei Zhou
2024 J jnl
Proactive image manipulation detection via deep semi-fragile watermark.
Neurocomputing
Yuan Zhao, Bo Liu, Tianqing Zhu, Ming Ding, Xin Yu, Wanlei Zhou
2024 J jnl
Public and Private Blockchain Infusion: A Novel Approach to Federated Learning.
IEEE Internet Things J.
Minghao Wang, Tianqing Zhu, Xuhan Zuo, Dayong Ye, Shui Yu, Wanlei Zhou
2024 J jnl
QUEEN: Query Unlearning against Model Extraction.
CoRR
Huajie Chen, Tianqing Zhu, Lefeng Zhang, Bo Liu, Derui Wang, Wanlei Zhou, Minhui Xue
2024 J jnl
Query-Efficient Video Adversarial Attack with Stylized Logo.
CoRR
Duoxun Tang, Yuxin Cao, Xi Xiao, Derui Wang, Sheng Wen, Tianqing Zhu
2024 J jnl
Really Unlearned? Verifying Machine Unlearning via Influential Sample Pairs.
CoRR
Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou
2024 J jnl
SoK: Bitcoin Layer Two (L2).
CoRR
Minfeng Qi, Qin Wang, Zhipeng Wang, Manvir Schneider, Tianqing Zhu, Shiping Chen, William Knottenbelt, Thomas Hardjono
2024 J jnl
Supplement data in federated learning with a generator transparent to clients.
Inf. Sci.
Xiaoya Wang, Tianqing Zhu, Wanlei Zhou
2024 J jnl
The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies.
CoRR
Feng He, Tianqing Zhu, Dayong Ye, Bo Liu, Wanlei Zhou, Philip S. Yu
2024 J jnl
The Frontier of Data Erasure: Machine Unlearning for Large Language Models.
CoRR
Youyang Qu, Ming Ding, Nan Sun, Kanchana Thilakarathna, Tianqing Zhu, Dusit Niyato
2024 J jnl
Topology modification against membership inference attack in Graph Neural Networks.
Knowl. Based Syst.
Faqian Guan, Tianqing Zhu, Hanjin Tong, Wanlei Zhou
2024 J jnl
Towards Efficient Target-Level Machine Unlearning Based on Essential Graph.
CoRR
Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Wei Zhao
2024 J jnl
Unique Security and Privacy Threats of Large Language Model: A Comprehensive Survey.
CoRR
Shang Wang, Tianqing Zhu, Bo Liu, Ming Ding, Xu Guo, Dayong Ye, Wanlei Zhou, Philip S. Yu
2024 J jnl
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation.
CoRR
Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu
2024 J jnl
Vertical Federated Unlearning via Backdoor Certification.
CoRR
Mengde Han, Tianqing Zhu, Lefeng Zhang, Huan Huo, Wanlei Zhou
2024 A* conf
When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks.
IJCAI
Huan Tian, Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou
2024 J jnl
When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?
CoRR
Shang Wang, Tianqing Zhu, Dayong Ye, Wanlei Zhou
2024 J jnl
When deep learning meets watermarking: A survey of application, attacks and defenses.
Comput. Stand. Interfaces
Huajie Chen, Chi Liu, Tianqing Zhu, Wanlei Zhou
2024 J jnl
Zero-shot Class Unlearning via Layer-wise Relevance Analysis and Neuronal Path Perturbation.
CoRR
Wenhan Chang, Tianqing Zhu, Yufeng Wu, Wanlei Zhou
2023 J jnl
A Blockchain-Based Cross-Domain and Autonomous Access Control Scheme for Internet of Things.
IEEE Trans. Serv. Comput.
Xiaohan Hao, Wei Ren, Yangyang Fei, Tianqing Zhu, Kim-Kwang Raymond Choo
2023 J jnl
A Blockchain-Based Decentralized, Fair and Authenticated Information Sharing Scheme in Zero Trust Internet-of-Things.
IEEE Trans. Computers
Yizhi Liu, Xiaohan Hao, Wei Ren, Ruoting Xiong, Tianqing Zhu, Kim-Kwang Raymond Choo, Geyong Min
2023 J jnl
A Game-Theoretic Federated Learning Framework for Data Quality Improvement.
IEEE Trans. Knowl. Data Eng.
Lefeng Zhang, Tianqing Zhu, Ping Xiong, Wanlei Zhou, Philip S. Yu
2023 J jnl
A Game-Theoretic Method for Defending Against Advanced Persistent Threats in Cyber Systems.
IEEE Trans. Inf. Forensics Secur.
Lefeng Zhang, Tianqing Zhu, Farookh Khadeer Hussain, Dayong Ye, Wanlei Zhou
2023 J jnl
A Robust Game-Theoretical Federated Learning Framework With Joint Differential Privacy.
IEEE Trans. Knowl. Data Eng.
Lefeng Zhang, Tianqing Zhu, Ping Xiong, Wanlei Zhou, Philip S. Yu
2023 J jnl
A lightweight privacy-preserving scheme using pixel block mixing for facial image classification in deep learning.
Eng. Appl. Artif. Intell.
Yuexin Xiang, Tiantian Li, Wei Ren, Tianqing Zhu, Kim-Kwang Raymond Choo
2023 J jnl
Adversarial Attacks Against Deep Generative Models on Data: A Survey.
IEEE Trans. Knowl. Data Eng.
Hui Sun, Tianqing Zhu, Zhiqiu Zhang, Dawei Jin, Ping Xiong, Wanlei Zhou
2023 J jnl
Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity.
ACM Comput. Surv.
Shuai Zhou, Chi Liu, Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
2023 J jnl
BTC-Shadow: an analysis and visualization system for exposing implicit behaviors in Bitcoin transaction graphs.
Frontiers Comput. Sci.
Ding Bao, Wei Ren, Yuexin Xiang, Weimao Liu, Tianqing Zhu, Yi Ren, Kim-Kwang Raymond Choo
2023 J jnl
Balancing Learning Model Privacy, Fairness, and Accuracy With Early Stopping Criteria.
IEEE Trans. Neural Networks Learn. Syst.
Tao Zhang, Tianqing Zhu, Kun Gao, Wanlei Zhou, Philip S. Yu
2023 J jnl
Boosting Model Inversion Attacks with Adversarial Examples.
CoRR
Shuai Zhou, Tianqing Zhu, Dayong Ye, Xin Yu, Wanlei Zhou
2023 J jnl
CIFair: Constructing continuous domains of invariant features for image fair classifications.
Knowl. Based Syst.
Huan Tian, Bo Liu, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
2023 J jnl
Deep Metric Learning for K Nearest Neighbor Classification.
IEEE Trans. Knowl. Data Eng.
Tingting Liao, Zhen Lei, Tianqing Zhu, Shan Zeng, Yaqin Li, Cao Yuan
2023 J jnl
Defense against membership inference attack in graph neural networks through graph perturbation.
Int. J. Inf. Sec.
Kai Wang, Jinxia Wu, Tianqing Zhu, Wei Ren, Ying Hong
2023 J jnl
Differential privacy: Review of improving utility through cryptography-based technologies.
Concurr. Comput. Pract. Exp.
Wen Huang, Ming Zhuo, Tianqing Zhu, Shijie Zhou, Yongjian Liao
2023 J jnl
Differentially Private Crowdsourcing With the Public and Private Blockchain.
IEEE Internet Things J.
Minghao Wang, Tianqing Zhu, Xuhan Zuo, Mengmeng Yang, Shui Yu, Wanlei Zhou
2023 J jnl
Differentially Private Distributed Frequency Estimation.
IEEE Trans. Dependable Secur. Comput.
Mengmeng Yang, Ivan Tjuawinata, Kwok-Yan Lam, Tianqing Zhu, Jun Zhao
2023 J jnl
Divide and Ensemble: Progressively Learning for the Unknown.
CoRR
Hu Zhang, Xin Shen, Heming Du, Huiqiang Chen, Chen Liu, Hongwei Sheng, Qingzheng Xu, Wahiduzzaman Khan, Qingtao Yu, Tianqing Zhu, Scott C. Chapman, Zi Huang, Xin Yu
2023 J jnl
Evolution of cooperation in malicious social networks with differential privacy mechanisms.
Neural Comput. Appl.
Tao Zhang, Dayong Ye, Tianqing Zhu, Tingting Liao, Wanlei Zhou
2023 J jnl
FD-MIA: Efficient Attacks on Fairness-enhanced Models.
CoRR
Huan Tian, Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou
2023 J jnl
Face image de-identification by feature space adversarial perturbation.
Concurr. Comput. Pract. Exp.
Hanyu Xue, Bo Liu, Xin Yuan, Ming Ding, Tianqing Zhu
2023 J jnl
Fairness in graph-based semi-supervised learning.
Knowl. Inf. Syst.
Tao Zhang, Tianqing Zhu, Mengde Han, Fengwen Chen, Jing Li, Wanlei Zhou, Philip S. Yu
2023 J jnl
FedRecovery: Differentially Private Machine Unlearning for Federated Learning Frameworks.
IEEE Trans. Inf. Forensics Secur.
Lefeng Zhang, Tianqing Zhu, Haibin Zhang, Ping Xiong, Wanlei Zhou
2023 J jnl
Generative Adversarial Networks Unlearning.
CoRR
Hui Sun, Tianqing Zhu, Wenhan Chang, Wanlei Zhou
2023 J jnl
High-frequency Matters: An Overwriting Attack and defense for Image-processing Neural Network Watermarking.
CoRR
Huajie Chen, Tianqing Zhu, Chi Liu, Shui Yu, Wanlei Zhou
2023 J jnl
Improve individual fairness in federated learning via adversarial training.
Comput. Secur.
Jie Li, Tianqing Zhu, Wei Ren, Kim-Kwang Raymond Choo
2023 J jnl
Label-Only Membership Inference Attacks and Defenses in Semantic Segmentation Models.
IEEE Trans. Dependable Secur. Comput.
Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou
2023 J jnl
Label-Only Model Inversion Attacks: Attack With the Least Information.
IEEE Trans. Inf. Forensics Secur.
Tianqing Zhu, Dayong Ye, Shuai Zhou, Bo Liu, Wanlei Zhou
2023 J jnl
Learning Games for Defending Advanced Persistent Threats in Cyber Systems.
IEEE Trans. Syst. Man Cybern. Syst.
Tianqing Zhu, Dayong Ye, Zishuo Cheng, Wanlei Zhou, Philip S. Yu
2023 J jnl
Low-frequency Image Deep Steganography: Manipulate the Frequency Distribution to Hide Secrets with Tenacious Robustness.
CoRR
Huajie Chen, Tianqing Zhu, Yuan Zhao, Bo Liu, Xin Yu, Wanlei Zhou
2023 J jnl
Machine Unlearning: A Survey.
CoRR
Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu
2023 J jnl
Making DeepFakes More Spurious: Evading Deep Face Forgery Detection via Trace Removal Attack.
IEEE Trans. Dependable Secur. Comput.
Chi Liu, Huajie Chen, Tianqing Zhu, Jun Zhang, Wanlei Zhou
2023 J jnl
Migrating federated learning to centralized learning with the leverage of unlabeled data.
Knowl. Inf. Syst.
Xiaoya Wang, Tianqing Zhu, Wei Ren, Dongmei Zhang, Ping Xiong
2023 J jnl
Model-Based Self-Advising for Multi-Agent Learning.
IEEE Trans. Neural Networks Learn. Syst.
Dayong Ye, Tianqing Zhu, Congcong Zhu, Wanlei Zhou, Philip S. Yu
2023 J jnl
New Challenges in Reinforcement Learning: A Survey of Security and Privacy.
CoRR
Yunjiao Lei, Dayong Ye, Sheng Shen, Yulei Sui, Tianqing Zhu, Wanlei Zhou
2023 J jnl
New challenges in reinforcement learning: a survey of security and privacy.
Artif. Intell. Rev.
Yunjiao Lei, Dayong Ye, Sheng Shen, Yulei Sui, Tianqing Zhu, Wanlei Zhou
2023 J jnl
Preserving data privacy in federated learning through large gradient pruning.
Comput. Secur.
Zhiqiu Zhang, Tianqing Zhu, Wei Ren, Ping Xiong, Kim-Kwang Raymond Choo
2023 J jnl
Privacy Data Diffusion Modeling and Preserving in Online Social Network.
IEEE Trans. Knowl. Data Eng.
Xiangyu Hu, Tianqing Zhu, Xuemeng Zhai, Hengming Wang, Wanlei Zhou, Wei Zhao
2023 J jnl
Privacy Data Propagation and Preservation in Social Media: A Real-World Case Study.
IEEE Trans. Knowl. Data Eng.
Xiangyu Hu, Tianqing Zhu, Xuemeng Zhai, Wanlei Zhou, Wei Zhao
2023 J jnl
Privacy Intelligence: A Survey on Image Privacy in Online Social Networks.
ACM Comput. Surv.
Chi Liu, Tianqing Zhu, Jun Zhang, Wanlei Zhou
2023 J jnl
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off.
CoRR
Huiqiang Chen, Tianqing Zhu, Tao Zhang, Wanlei Zhou, Philip S. Yu
2023 J jnl
Privacy and evolutionary cooperation in neural-network-based game theory.
Knowl. Based Syst.
Zishuo Cheng, Tianqing Zhu, Congcong Zhu, Dayong Ye, Wanlei Zhou, Philip S. Yu
2023 A conf
Proactive Deepfake Defence via Identity Watermarking.
WACV
Yuan Zhao, Bo Liu, Ming Ding, Baoping Liu, Tianqing Zhu, Xin Yu
2023 — conf
Protect Trajectory Privacy in Food Delivery with Differential Privacy and Multi-agent Reinforcement Learning.
AINA (3)
Suleiman Abahussein, Tianqing Zhu, Dayong Ye, Zishuo Cheng, Wanlei Zhou
2023 J jnl
Reinforcement Unlearning.
CoRR
Dayong Ye, Tianqing Zhu, Congcong Zhu, Derui Wang, Jason Xue, Sheng Shen, Wanlei Zhou
2023 J jnl
Revisiting model fairness via adversarial examples.
Knowl. Based Syst.
Tao Zhang, Tianqing Zhu, Jing Li, Wanlei Zhou, Philip S. Yu
2023 J jnl
SPoFC: A framework for stream data aggregation with local differential privacy.
Concurr. Comput. Pract. Exp.
Mengmeng Yang, Kwok-Yan Lam, Tianqing Zhu, Chenghua Tang
2023 A conf
TI
WACV
Baoping Liu, Bo Liu, Ming Ding, Tianqing Zhu, Xin Yu
2023 J jnl
Time-Driven and Privacy-Preserving Navigation Model for Vehicle-to-Vehicle Communication Systems.
IEEE Trans. Veh. Technol.
Congcong Zhu, Zishuo Cheng, Dayong Ye, Farookh Khadeer Hussain, Tianqing Zhu, Wanlei Zhou
2023 J jnl
Towards Robust GAN-generated Image Detection: a Multi-view Completion Representation.
CoRR
Chi Liu, Tianqing Zhu, Sheng Shen, Wanlei Zhou
2023 A* conf
Towards Robust Gan-Generated Image Detection: A Multi-View Completion Representation.
IJCAI
Chi Liu, Tianqing Zhu, Sheng Shen, Wanlei Zhou
2022 J jnl
A Decentralized Electronic Reporting Scheme with Privacy Protection Based on Proxy Signature and Blockchain.
Secur. Commun. Networks
Huiying Zou, Xiaofan Liu, Wei Ren, Tianqing Zhu
2022 J jnl
A novel differentially private advising framework in cloud server environment.
Concurr. Comput. Pract. Exp.
Sheng Shen, Tianqing Zhu, Dayong Ye, Minghao Wang, Xuhan Zuo, Andi Zhou
2022 J jnl
A privacy preservation method for multiple-source unstructured data in online social networks.
Comput. Secur.
Chenguang Wang, Tianqing Zhu, Ping Xiong, Wei Ren, Kim-Kwang Raymond Choo
2022 J jnl
Attacking neural machine translations via hybrid attention learning.
Mach. Learn.
Mingze Ni, Ce Wang, Tianqing Zhu, Shui Yu, Wei Liu
2022 J jnl
BABD: A Bitcoin Address Behavior Dataset for Address Behavior Pattern Analysis.
CoRR
Yuexin Xiang, Yuchen Lei, Ding Bao, Wei Ren, Tiantian Li, Qingqing Yang, Wenmao Liu, Tianqing Zhu, Kim-Kwang Raymond Choo
2022 J jnl
Correlated data in differential privacy: Definition and analysis.
Concurr. Comput. Pract. Exp.
Tao Zhang, Tianqing Zhu, Renping Liu, Wanlei Zhou
2022 J jnl
Differential Advising in Multiagent Reinforcement Learning.
IEEE Trans. Cybern.
Dayong Ye, Tianqing Zhu, Zishuo Cheng, Wanlei Zhou, Philip S. Yu
2022 J jnl
Differentially Private Multi-Agent Planning for Logistic-Like Problems.
IEEE Trans. Dependable Secur. Comput.
Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou, Philip S. Yu
2022 J jnl
Fairness and privacy preservation for facial images: GAN-based methods.
Comput. Secur.
Huan Tian, Tianqing Zhu, Wanlei Zhou
2022 J jnl
Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination.
IEEE Trans. Knowl. Data Eng.
Tao Zhang, Tianqing Zhu, Jing Li, Mengde Han, Wanlei Zhou, Philip S. Yu
2022 J jnl
From distributed machine learning to federated learning: In the view of data privacy and security.
Concurr. Comput. Pract. Exp.
Sheng Shen, Tianqing Zhu, Di Wu, Wei Wang, Wanlei Zhou
2022 J jnl
How Does a Deep Learning Model Architecture Impact Its Privacy?
CoRR
Guangsheng Zhang, Bo Liu, Huan Tian, Tianqing Zhu, Ming Ding, Wanlei Zhou
2022 J jnl
Image fairness in deep learning: problems, models, and challenges.
Neural Comput. Appl.
Huan Tian, Tianqing Zhu, Wei Liu, Wanlei Zhou
2022 J jnl
LOPO: a location privacy preserving path optimization scheme for spatial crowdsourcing.
J. Ambient Intell. Humaniz. Comput.
Ping Xiong, Guirong Li, Wei Ren, Tianqing Zhu
2022 J jnl
Label-only Model Inversion Attack: The Attack that Requires the Least Information.
CoRR
Dayong Ye, Tianqing Zhu, Shuai Zhou, Bo Liu, Wanlei Zhou
2022 J jnl
Making DeepFakes more spurious: evading deep face forgery detection via trace removal attack.
CoRR
Chi Liu, Huajie Chen, Tianqing Zhu, Jun Zhang, Wanlei Zhou
2022 J jnl
Model Inversion Attack against Transfer Learning: Inverting a Model without Accessing It.
CoRR
Dayong Ye, Huiqiang Chen, Shuai Zhou, Tianqing Zhu, Wanlei Zhou, Shouling Ji
2022 J jnl
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence.
IEEE Trans. Knowl. Data Eng.
Tianqing Zhu, Dayong Ye, Wei Wang, Wanlei Zhou, Philip S. Yu
2022 J jnl
More than Privacy: Adopting Differential Privacy in Game-theoretic Mechanism Design.
ACM Comput. Surv.
Lefeng Zhang, Tianqing Zhu, Ping Xiong, Wanlei Zhou, Philip S. Yu
2022 J jnl
Multi-agent reinforcement learning via knowledge transfer with differentially private noise.
Int. J. Intell. Syst.
Zishuo Cheng, Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu, Congcong Zhu
2022 J jnl
Novel hybrid multi-head self-attention and multifractal algorithm for non-stationary time series prediction.
Inf. Sci.
Xiang Yu, Dongmei Zhang, Tianqing Zhu, Xinwei Jiang
2022 J jnl
One Parameter Defense - Defending Against Data Inference Attacks via Differential Privacy.
IEEE Trans. Inf. Forensics Secur.
Dayong Ye, Sheng Shen, Tianqing Zhu, Bo Liu, Wanlei Zhou
2022 J jnl
One Parameter Defense - Defending against Data Inference Attacks via Differential Privacy.
CoRR
Dayong Ye, Sheng Shen, Tianqing Zhu, Bo Liu, Wanlei Zhou
2022 J jnl
PriTxt: A privacy risk assessment method for text data based on semantic correlation learning.
Concurr. Comput. Pract. Exp.
Ping Xiong, Lin Liang, Yunli Zhu, Tianqing Zhu
2022 J jnl
Prioritized Experience Replay based on Multi-armed Bandit.
Expert Syst. Appl.
Ximing Liu, Tianqing Zhu, Cuiqing Jiang, Dayong Ye, Fuqing Zhao
2022 J jnl
Privacy, accuracy, and model fairness trade-offs in federated learning.
Comput. Secur.
Xiuting Gu, Tianqing Zhu, Jie Li, Tao Zhang, Wei Ren, Kim-Kwang Raymond Choo
2022 Misc conf
Privacy-Preserving in Double Deep-Q-Network with Differential Privacy in Continuous Spaces.
AI
Suleiman Abahussein, Zishuo Cheng, Tianqing Zhu, Dayong Ye, Wanlei Zhou
2022 J jnl
Private-encoder: Enforcing privacy in latent space for human face images.
Concurr. Comput. Pract. Exp.
Yuan Zhao, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou
2022 J jnl
Privately Publishing Internet of Things Data: Bring Personalized Sampling Into Differentially Private Mechanisms.
IEEE Internet Things J.
Wen Huang, Shijie Zhou, Tianqing Zhu, Yongjian Liao
2022 J jnl
Resource Allocation in IoT Edge Computing via Concurrent Federated Reinforcement Learning.
IEEE Internet Things J.
Tianqing Zhu, Wei Zhou, Dayong Ye, Zishuo Cheng, Jin Li
2022 J jnl
The Dynamic Privacy-Preserving Mechanisms for Online Dynamic Social Networks.
IEEE Trans. Knowl. Data Eng.
Tianqing Zhu, Jin Li, Xiangyu Hu, Ping Xiong, Wanlei Zhou
2022 J jnl
Time-optimal and privacy preserving route planning for carpool policy.
World Wide Web
Congcong Zhu, Dayong Ye, Tianqing Zhu, Wanlei Zhou
2022 J jnl
Visual privacy attacks and defenses in deep learning: a survey.
Artif. Intell. Rev.
Guangsheng Zhang, Bo Liu, Tianqing Zhu, Andi Zhou, Wanlei Zhou
2021 C conf
A Blockchain-based Fast Authentication and Collaborative Video Data Forwarding Scheme for Vehicular Networks.
EUC
Weihui Qiu, Xin Yang, Ming Wei, Wei Ren, Tianqing Zhu
2021 J jnl
A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries.
IEEE Trans. Inf. Forensics Secur.
Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou
2021 J jnl
A Lightweight Privacy-Preserving Scheme Using Label-based Pixel Block Mixing for Image Classification in Deep Learning.
CoRR
Yuexin Xiang, Tiantian Li, Wei Ren, Tianqing Zhu, Kim-Kwang Raymond Choo
2021 J jnl
A Mixing Scheme Using a Decentralized Signature Protocol for Privacy Protection in Bitcoin Blockchain.
IEEE Trans. Dependable Secur. Comput.
Ruiyang Xiao, Wei Ren, Tianqing Zhu, Kim-Kwang Raymond Choo
2021 — conf
A Semantic-based Replacement for Event Image Privacy.
CSE
Zhenfei Chen, Tianqing Zhu, Bing Tian, Yu Wang, Wei Ren
2021 J jnl
A multi-type and decentralized data transaction scheme based on smart contracts and digital watermarks.
J. Netw. Comput. Appl.
Yuexin Xiang, Wei Ren, Tiantian Li, Xianghan Zheng, Tianqing Zhu, Kim-Kwang Raymond Choo
2021 J jnl
Adversarial Attacks Against Deep Generative Models on Data: A Survey.
CoRR
Hui Sun, Tianqing Zhu, Zhiqiu Zhang, Dawei Jin, Ping Xiong, Wanlei Zhou
2021 J jnl
An optimized differential privacy scheme with reinforcement learning in VANET.
Comput. Secur.
Xin Chen, Tao Zhang, Sheng Shen, Tianqing Zhu, Ping Xiong
2021 J jnl
Asymmetric cryptographic functions based on generative adversarial neural networks for Internet of Things.
Future Gener. Comput. Syst.
Xiaohan Hao, Wei Ren, Ruoting Xiong, Tianqing Zhu, Kim-Kwang Raymond Choo
2021 — conf
CDVT: A Cluster-Based Distributed Video Transcoding Scheme for Mobile Stream Services.
WASA (1)
Cheng Xu, Wei Ren, Daxi Tu, Linchen Yu, Tianqing Zhu, Yi Ren
2021 J jnl
DP-Image: Differential Privacy for Image Data in Feature Space.
CoRR
Bo Liu, Ming Ding, Hanyu Xue, Tianqing Zhu, Dayong Ye, Li Song, Wanlei Zhou
2021 J jnl
FAPS: A fair, autonomous and privacy-preserving scheme for big data exchange based on oblivious transfer, Ether cheque and smart contracts.
Inf. Sci.
Tiantian Li, Wei Ren, Yuexin Xiang, Xianghan Zheng, Tianqing Zhu, Kim-Kwang Raymond Choo, Gautam Srivastava
2021 J jnl
Fair and Differentially Private Distributed Frequency Estimation.
CoRR
Mengmeng Yang, Ivan Tjuawinata, Kwok-Yan Lam, Tianqing Zhu, Jun Zhao
2021 J jnl
Game Theoretical Adversarial Deep Learning With Variational Adversaries.
IEEE Trans. Knowl. Data Eng.
Aneesh Sreevallabh Chivukula, Xinghao Yang, Wei Liu, Tianqing Zhu, Wanlei Zhou
2021 J jnl
Heterogeneous differential privacy for vertically partitioned databases.
Concurr. Comput. Pract. Exp.
Yang Xia, Tianqing Zhu, Xiaofeng Ding, Hai Jin, Deqing Zou
2021 — conf
Privacy Risk Assessment for Text Data Based on Semantic Correlation Learning.
WASA (3)
Ping Xiong, Lin Liang, Yunli Zhu, Tianqing Zhu
2021 J jnl
Privacy preservation for image data: A GAN-based method.
Int. J. Intell. Syst.
Zhenfei Chen, Tianqing Zhu, Ping Xiong, Chenguang Wang, Wei Ren
2021 J jnl
Semantic-Preserving Adversarial Text Attacks.
CoRR
Xinghao Yang, Weifeng Liu, James Bailey, Tianqing Zhu, Dacheng Tao, Wei Liu
2021 J jnl
Towards Personalized Task-Oriented Worker Recruitment in Mobile Crowdsensing.
IEEE Trans. Mob. Comput.
Zhibo Wang, Jing Zhao, Jiahui Hu, Tianqing Zhu, Qian Wang, Ju Ren, Chao Li
2020 J jnl
A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries.
CoRR
Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou
2020 — conf
A Fast Robustness Quantification Method for Evaluating Typical Deep Learning Models by Generally Image Processing.
ISPA/BDCloud/SocialCom/SustainCom
Haocong Li, Yunjia Cheng, Wei Ren, Tianqing Zhu
2020 J jnl
A Hierarchical Encryption and Key Management Scheme for Layered Access Control on H.264/SVC Bitstream in the Internet of Things.
IEEE Internet Things J.
Cheng Xu, Wei Ren, Linchen Yu, Tianqing Zhu, Kim-Kwang Raymond Choo
2020 J jnl
A flexible method to defend against computationally resourceful miners in blockchain proof of work.
Inf. Sci.
Wei Ren, Jingjing Hu, Tianqing Zhu, Yi Ren, Kim-Kwang Raymond Choo
2020 C conf
An Empirical Study of Code Deobfuscations on Detecting Obfuscated Android Piggybacked Apps.
APSEC
Yanxin Zhang, Guanping Xiao, Zheng Zheng, Tianqing Zhu, Ivor W. Tsang, Yulei Sui
2020 — ch.
Blockchain in 5G and 6G networks.
Blockchains for Network Security
Minghao Wang, Xuhan Zuo, Tianqing Zhu
2020 J jnl
BoSMoS: A Blockchain-Based Status Monitoring System for Defending Against Unauthorized Software Updating in Industrial Internet of Things.
IEEE Internet Things J.
Sen He, Wei Ren, Tianqing Zhu, Kim-Kwang Raymond Choo
2020 J jnl
Correlated Data in Differential Privacy: Definition and Analysis.
CoRR
Tao Zhang, Tianqing Zhu, Renping Liu, Wanlei Zhou
2020 J jnl
Correlated Differential Privacy: Feature Selection in Machine Learning.
CoRR
Tao Zhang, Tianqing Zhu, Ping Xiong, Huan Huo, Zahir Tari, Wanlei Zhou
2020 J jnl
Correlated Differential Privacy: Feature Selection in Machine Learning.
IEEE Trans. Ind. Informatics
Tao Zhang, Tianqing Zhu, Ping Xiong, Huan Huo, Zahir Tari, Wanlei Zhou
2020 J jnl
Differential Advising in Multi-Agent Reinforcement Learning.
CoRR
Dayong Ye, Tianqing Zhu, Zishuo Cheng, Wanlei Zhou, Philip S. Yu
2020 J jnl
Differentially Private Malicious Agent Avoidance in Multiagent Advising Learning.
IEEE Trans. Cybern.
Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
2020 J jnl
Differentially Private Multi-Agent Planning for Logistic-like Problems.
CoRR
Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou, Philip S. Yu
2020 J jnl
Differentially private model publishing in cyber physical systems.
Future Gener. Comput. Syst.
Tianqing Zhu, Ping Xiong, Gang Li, Wanlei Zhou, Philip S. Yu
2020 J jnl
Efficiently Constructing Adversarial Examples by Feature Watermarking.
CoRR
Yuexin Xiang, Wei Ren, Tiantian Li, Xianghan Zheng, Tianqing Zhu, Kim-Kwang Raymond Choo
2020 J jnl
Fairness Constraints in Semi-supervised Learning.
CoRR
Tao Zhang, Tianqing Zhu, Mengde Han, Jing Li, Wanlei Zhou, Philip S. Yu
2020 J jnl
Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination.
CoRR
Tao Zhang, Tianqing Zhu, Jing Li, Mengde Han, Wanlei Zhou, Philip S. Yu
2020 J jnl
From Distributed Machine Learning To Federated Learning: In The View Of Data Privacy And Security.
CoRR
Sheng Shen, Tianqing Zhu, Di Wu, Wei Wang, Wanlei Zhou
2020 — conf
GAN-Based Image Privacy Preservation: Balancing Privacy and Utility.
ML4CS (1)
Zhenfei Chen, Tianqing Zhu, Chenguang Wang, Wei Ren, Ping Xiong
2020 — conf
Hiding Private Information in Images From AI.
ICC
Hanyu Xue, Bo Liu, Ming Ding, Li Song, Tianqing Zhu
2020 B conf
Improving Laplace Mechanism of Differential Privacy by Personalized Sampling.
TrustCom
Wen Huang, Shijie Zhou, Tianqing Zhu, Yongjian Liao, Chunjiang Wu, Shilin Qiu
2020 J jnl
Local Differential Privacy and Its Applications: A Comprehensive Survey.
CoRR
Mengmeng Yang, Lingjuan Lyu, Jun Zhao, Tianqing Zhu, Kwok-Yan Lam
2020 B conf
Model Poisoning Defense on Federated Learning: A Validation Based Approach.
NSS
Yuao Wang, Tianqing Zhu, Wenhan Chang, Sheng Shen, Wei Ren
2020 J jnl
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence.
CoRR
Tianqing Zhu, Dayong Ye, Wei Wang, Wanlei Zhou, Philip S. Yu
2020 J jnl
Privacy Intelligence: A Survey on Image Sharing on Online Social Networks.
CoRR
Chi Liu, Tianqing Zhu, Jun Zhang, Wanlei Zhou
2020 B conf
Privacy and Utility Trade-Off for Textual Analysis via Calibrated Multivariate Perturbations.
NSS
Jingye Tang, Tianqing Zhu, Ping Xiong, Yu Wang, Wei Ren
2020 J jnl
Private collaborative filtering under untrusted recommender server.
Future Gener. Comput. Syst.
Ping Xiong, Lefeng Zhang, Tianqing Zhu, Gang Li, Wanlei Zhou
2020 B conf
SCScan: A SVM-based Scanning System for Vulnerabilities in Blockchain Smart Contracts.
TrustCom
Xiaohan Hao, Wei Ren, Wenwen Zheng, Tianqing Zhu
2020 J jnl
Secure and efficient sharing of authenticated energy usage data with privacy preservation.
Comput. Secur.
Jianghua Liu, Jingyu Hou, Xinyi Huang, Yang Xiang, Tianqing Zhu
2020 J jnl
Security and privacy in 6G networks: New areas and new challenges.
Digit. Commun. Networks
Minghao Wang, Tianqing Zhu, Tao Zhang, Jun Zhang, Shui Yu, Wanlei Zhou
2020 B conf
The Impact of Differential Privacy on Model Fairness in Federated Learning.
NSS
Xiuting Gu, Tianqing Zhu, Jie Li, Tao Zhang, Wei Ren
2020 J jnl
the Connection between Cryptography and Differential Privacy: a Survey.
CoRR
Wen Huang, Shijie Zhou, Tianqing Zhu, Yongjian Liao
2019 J jnl
A blockchain-based location privacy-preserving crowdsensing system.
Future Gener. Comput. Syst.
Mengmeng Yang, Tianqing Zhu, Kaitai Liang, Wanlei Zhou, Robert H. Deng
2019 J jnl
A differentially private method for crowdsourcing data submission.
Concurr. Comput. Pract. Exp.
Lefeng Zhang, Ping Xiong, Wei Ren, Tianqing Zhu
2019 J jnl
Adversaries or allies? Privacy and deep learning in big data era.
Concurr. Comput. Pract. Exp.
Bo Liu, Ming Ding, Tianqing Zhu, Yong Xiang, Wanlei Zhou
2019 A conf
Applying Differential Privacy Mechanism in Artificial Intelligence.
ICDCS
Tianqing Zhu, Philip S. Yu
2019 J jnl
CaACBIM: A Context-aware Access Control Model for BIM.
Inf.
Rongyue Zheng, Jianlin Jiang, Xiaohan Hao, Wei Ren, Feng Xiong, Tianqing Zhu
2019 J jnl
Decentralized Learning with Average Difference Aggregation for Proactive Online Social Care.
CoRR
Shaoxiong Ji, Guodong Long, Shirui Pan, Tianqing Zhu, Jing Jiang, Sen Wang, Xue Li
2019 — conf
Detecting Suicidal Ideation with Data Protection in Online Communities.
DASFAA (3)
Shaoxiong Ji, Guodong Long, Shirui Pan, Tianqing Zhu, Jing Jiang, Sen Wang
2019 — conf
Differential Privacy Preservation for Smart Meter Systems.
ICA3PP (1)
Junfang Wu, Weizhong Qiang, Tianqing Zhu, Hai Jin, Peng Xu, Sheng Shen
2019 J jnl
MoSa: A Modeling and Sentiment Analysis System for Mobile Application Big Data.
Symmetry
Yaocheng Zhang, Wei Ren, Tianqing Zhu, Ehoche Faith
2019 J jnl
Optimizing rewards allocation for privacy-preserving spatial crowdsourcing.
Comput. Commun.
Ping Xiong, Danyang Zhu, Lefeng Zhang, Wei Ren, Tianqing Zhu
2019 J jnl
PBCert: Privacy-Preserving Blockchain-Based Certificate Status Validation Toward Mass Storage Management.
IEEE Access
Shixiong Yao, Jing Chen, Kun He, Ruiying Du, Tianqing Zhu, Xin Chen
2019 J jnl
PICEAdatabase: a web database for Picea omics and phenotypic information.
Database J. Biol. Databases Curation
Nan Lu, Tianqing Zhu, Fangqun Ouyang, Yan Xia, Qingfen Li, Zirui Jia, Jiwen Hu, Juanjuan Ling, Wenjun Ma, Guijuan Yang, Hanguo Zhang, Lisheng Kong, Junhui Wang
2019 — ch.
Privacy preserving in big data.
Security and Privacy for Big Data, Cloud Computing and Applications
Mengmeng Yang, Tianqing Zhu
2019 B conf
Protecting Privacy-Sensitive Locations in Trajectories with Correlated Positions.
GLOBECOM
Bo Liu, Tianqing Zhu, Wanlei Zhou, Kun Wang, Haibo Zhou, Ming Ding
2019 J jnl
SaaS: A situational awareness and analysis system for massive android malware detection.
Future Gener. Comput. Syst.
Yaocheng Zhang, Wei Ren, Tianqing Zhu, Yi Ren
2019 — conf
Simultaneously Advising via Differential Privacy in Cloud Servers Environment.
ICA3PP (1)
Sheng Shen, Tianqing Zhu, Dayong Ye, Mengmeng Yang, Tingting Liao, Wanlei Zhou
2019 J jnl
Wormhole: The Hidden Virus Propagation Power of the Search Engine in Social Networks.
IEEE Trans. Dependable Secur. Comput.
Cai Fu, Xiao-Yang Liu, Jia Yang, Laurence T. Yang, Shui Yu, Tianqing Zhu
2018 — conf
A Differentially Private Method for Crowdsourcing Data Submission.
PAKDD (Workshops)
Lefeng Zhang, Ping Xiong, Tianqing Zhu
2018 J jnl
A Watermark-Based In-Situ Access Control Model for Image Big Data.
Future Internet
Jinyi Guo, Wei Ren, Yi Ren, Tianqing Zhu
2018 J jnl
An iteration-based differentially private social network data release.
Comput. Syst. Sci. Eng.
Tianqing Zhu, Mengmeng Yang, Ping Xiong, Yang Xiang, Wanlei Zhou
2018 J jnl
Answering differentially private queries for continual datasets release.
Future Gener. Comput. Syst.
Tianqing Zhu, Gang Li, Ping Xiong, Wanlei Zhou
2018 J jnl
Cryptanalysis of a Lightweight Certificateless Signature Scheme for IIOT Environments.
IEEE Access
Bo Zhang, Tianqing Zhu, Chengyu Hu, Chuan Zhao
2018 J jnl
Density-Based Location Preservation for Mobile Crowdsensing With Differential Privacy.
IEEE Access
Mengmeng Yang, Tianqing Zhu, Yang Xiang, Wanlei Zhou
2018 J jnl
Differential Private POI Queries via Johnson-Lindenstrauss Transform.
IEEE Access
Mengmeng Yang, Tianqing Zhu, Bo Liu, Yang Xiang, Wanlei Zhou
2018 J jnl
Lico: A Lightweight Access Control Model for Inter-Networking Linkages.
IEEE Access
Simin Li, Wei Ren, Tianqing Zhu, Kim-Kwang Raymond Choo
2018 J jnl
Location Privacy and Its Applications: A Systematic Study.
IEEE Access
Bo Liu, Wanlei Zhou, Tianqing Zhu, Longxiang Gao, Yong Xiang
2018 — book
Location Privacy in Mobile Applications
Bo Liu, Wanlei Zhou, Tianqing Zhu, Yong Xiang, Kun Wang
2018 J jnl
Machine Learning Differential Privacy With Multifunctional Aggregation in a Fog Computing Architecture.
IEEE Access
Mengmeng Yang, Tianqing Zhu, Bo Liu, Yang Xiang, Wanlei Zhou
2018 — conf
MoSa: A Modeling and Sentiment Analysis System for Mobile Application Big Data.
ICA3PP (2)
Yaocheng Zhang, Wei Ren, Tianqing Zhu, Wei Bi
2018 J jnl
Performance and Security Evaluations of Identity- and Pairing-Based Digital Signature Algorithms on Windows, Android, and Linux Platforms: Revisiting the Algorithms of Cha and Cheon, Hess, Barreto, Libert, Mccullagh and Quisquater, and Paterson and Schuldt.
IEEE Access
Sheng Zhong, Wei Ren, Tianqing Zhu, Yi Ren, Kim-Kwang Raymond Choo
2018 J jnl
RIMS: A Real-time and Intelligent Monitoring System for live-broadcasting platforms.
Future Gener. Comput. Syst.
Yangfan Li, Wei Ren, Tianqing Zhu, Yi Ren, Yue Qin, Wei Jie
2018 B conf
Using Adversarial Noises to Protect Privacy in Deep Learning Era.
GLOBECOM
Bo Liu, Ming Ding, Tianqing Zhu, Yong Xiang, Wanlei Zhou
2017 J jnl
A cyber-threat analytic model for autonomous detection of virtual property theft.
Inf. Comput. Secur.
Nicholas Charles Patterson, Michael Hobbs, Tianqing Zhu
2017 — conf
CloudController: A Writable and Heterogeneous-Adaptive Virtual Machine Introspection for Cloud Management.
TrustCom/BigDataSE/ICESS
Weizhong Qiang, Gongping Xu, Guozhong Sun, Tianqing Zhu, Hai Jin
2017 — book
Differential Privacy and Applications
Tianqing Zhu, Gang Li, Wanlei Zhou, Philip S. Yu
2017 J jnl
Differentially Private Data Publishing and Analysis: A Survey.
IEEE Trans. Knowl. Data Eng.
Tianqing Zhu, Gang Li, Wanlei Zhou, Philip S. Yu
2017 J jnl
Differentially Private Query Learning: from Data Publishing to Model Publishing.
CoRR
Tianqing Zhu, Ping Xiong, Gang Li, Wanlei Zhou, Philip S. Yu
2017 — conf
Differentially private query learning: From data publishing to model publishing.
IEEE BigData
Tianqing Zhu, Ping Xiong, Gang Li, Wanlei Zhou, Philip S. Yu
2017 J jnl
Evolutionary virus immune strategy for temporal networks based on community vitality.
Future Gener. Comput. Syst.
Min Li, Cai Fu, Xiao-Yang Liu, Jia Yang, Tianqing Zhu, Lansheng Han
2017 J jnl
Invisible Hand: A Privacy Preserving Mobile Crowd Sensing Framework Based on Economic Models.
IEEE Trans. Veh. Technol.
Bo Liu, Wanlei Zhou, Tianqing Zhu, Haibo Zhou, Xiaodong Lin
2017 C conf
Personalized Privacy Preserving Collaborative Filtering.
GPC
Mengmeng Yang, Tianqing Zhu, Yang Xiang, Wanlei Zhou
2017 — conf
Privacy Preserving Collaborative Filtering via the Johnson-Lindenstrauss Transform.
TrustCom/BigDataSE/ICESS
Mengmeng Yang, Tianqing Zhu, Lichuan Ma, Yang Xiang, Wanlei Zhou
2017 J jnl
Reward-based spatial crowdsourcing with differential privacy preservation.
Enterp. Inf. Syst.
Ping Xiong, Lefeng Zhang, Tianqing Zhu
2016 J jnl
A differentially private algorithm for location data release.
Knowl. Inf. Syst.
Ping Xiong, Tianqing Zhu, Wenjia Niu, Gang Li
2016 — conf
Discovering Learning Patterns of Male and Female Students by Contrast Targeted Rule Mining.
ES
Xianghong Tian, Jie Kong, Tianqing Zhu, Haiyang Xia
2016 J jnl
Privacy-preserving topic model for tagging recommender systems.
Knowl. Inf. Syst.
Tianqing Zhu, Gang Li, Wanlei Zhou, Ping Xiong, Cao Yuan
2016 J jnl
Semantic analysis in location privacy preserving.
Concurr. Comput. Pract. Exp.
Ping Xiong, Lefeng Zhang, Tianqing Zhu
2016 J jnl
Silence is Golden: Enhancing Privacy of Location-Based Services by Content Broadcasting and Active Caching in Wireless Vehicular Networks.
IEEE Trans. Veh. Technol.
Bo Liu, Wanlei Zhou, Tianqing Zhu, Longxiang Gao, Tom H. Luan, Haibo Zhou
2016 J jnl
Taming transitive permission attack via bytecode rewriting on Android application.
Secur. Commun. Networks
Daibin Wang, Hai Jin, Deqing Zou, Peng Xu, Tianqing Zhu, Gang Chen
2015 J jnl
Correlated Differential Privacy: Hiding Information in Non-IID Data Set.
IEEE Trans. Inf. Forensics Secur.
Tianqing Zhu, Ping Xiong, Gang Li, Wanlei Zhou
2015 J jnl
Privacy preserving data release for tagging recommender systems.
Web Intell.
Tianqing Zhu, Gang Li, Yongli Ren, Wanlei Zhou, Ping Xiong
2014 J jnl
An effective privacy preserving algorithm for neighborhood-based collaborative filtering.
Future Gener. Comput. Syst.
Tianqing Zhu, Yongli Ren, Wanlei Zhou, Jia Rong, Ping Xiong
2014 — conf
Deferentially Private Tagging Recommendation Based on Topic Model.
PAKDD (1)
Tianqing Zhu, Gang Li, Wanlei Zhou, Ping Xiong, Cao Yuan
2014 B conf
Privacy Preserving in Location Data Release: A Differential Privacy Approach.
PRICAI
Ping Xiong, Tianqing Zhu, Lei Pan, Wenjia Niu, Gang Li
2014 J jnl
Privacy preserving collaborative filtering for KNN attack resisting.
Soc. Netw. Anal. Min.
Tianqing Zhu, Gang Li, Lei Pan, Yongli Ren, Wanlei Zhou
2013 — conf
An Effective Deferentially Private Data Releasing Algorithm for Decision Tree.
TrustCom/ISPA/IUCC
Tianqing Zhu, Ping Xiong, Yang Xiang, Wanlei Zhou
2013 B conf
Differential privacy for neighborhood-based collaborative filtering.
ASONAM
Tianqing Zhu, Gang Li, Yongli Ren, Wanlei Zhou, Ping Xiong
2013 — conf
Dynamic User Behavior-Based Piracy Propagation Monitoring in Wireless Peer-to-Peer Networks.
BSI@PAKDD/BSIC@IJCAI
Benke Qu, Wenjia Niu, Tianqing Zhu, Lei Wu, Shijun Liu, Na Wang
2013 — conf
Privacy Preserving for Tagging Recommender Systems.
Web Intelligence
Tianqing Zhu, Gang Li, Yongli Ren, Wanlei Zhou, Ping Xiong
2013 — conf
Top-N Recommendations by Learning User Preference Dynamics.
PAKDD (2)
Yongli Ren, Tianqing Zhu, Gang Li, Wanlei Zhou
2012 B conf
AMDD: Exploring Entropy Based Anonymous Multi-dimensional Data Detection for Network Optimization in Human Associated DTNs.
TrustCom
Longxiang Gao, Ming Li, Tianqing Zhu, Alessio Bonti, Wanlei Zhou, Shui Yu
2006 C conf
An Outlier Detection Model Based on Cross Datasets Comparison for Financial Surveillance.
APSCC
Tianqing Zhu
2006 C conf
Suspicious Financial Transaction Detection Based on Empirical Mode Decomposition Method.
APSCC
Tianqing Zhu