Qingqing Ye

147 papers A* 31B 3Journal 104Unranked 9
YearRankTypeTitle / Venue / Authors
2026 — conf
Adversarial Signed Graph Learning with Differential Privacy.
KDD (1)
Haobin Ke, Sen Zhang, Qingqing Ye, Xun Ran, Haibo Hu
2026 J jnl
Answering Range Queries for Arbitrary Distribution Under Shuffled Differential Privacy.
IEEE Trans. Knowl. Data Eng.
Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng
2026 A* conf
Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks.
AAAI
Yaxin Xiao, Qingqing Ye, Zi Liang, Haoyang Li, Ronghua Li, Huadi Zheng, Haibo Hu
2026 A* conf
DIFT: Protecting Contrastive Learning Against Data Poisoning Backdoor Attacks.
AAAI
Jiang Zhu, Yulin Jin, Qingqing Ye, Zhibiao Guo, Kun Fang, Ruochen Du, Yingnan Zhao, Haibo Hu
2026 J jnl
Diffusion-Guided Backdoor Attacks in Real-World Reinforcement Learning.
CoRR
Tairan Huang, Qingqing Ye, Yulin Jin, Jiawei Lian, Yi Wang, Haibo Hu
2026 J jnl
FIT: Defying Catastrophic Forgetting in Continual LLM Unlearning.
CoRR
Xiaoyu Xu, Minxin Du, Kun Fang, Zi Liang, Yaxin Xiao, Zhicong Huang, Cheng Hong, Qingqing Ye, Haibo Hu
2026 J jnl
From Domains to Instances: Dual-Granularity Data Synthesis for LLM Unlearning.
CoRR
Xiaoyu Xu, Minxin Du, Zitong Li, Zi Liang, Zhibiao Guo, Shiyu Zhang, Peizhao Hu, Qingqing Ye, Haibo Hu
2026 A* conf
How Green Is Your Login? A Cross-Protocol Benchmark of Authentication Energy & Latency.
WWW
Weizheng Wang, Qipeng Xie, Shiyu Wang, Qingqing Ye, Kaishun Wu, Haibo Hu
2026 A* conf
How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation Under the One-Time-Pad-Based Framework.
AAAI
Zi Liang, Liantong Yu, Shiyu Zhang, Qingqing Ye, Haibo Hu
2026 J jnl
Incorporating New Knowledge into Federated Learning: Advances, Insights, and Future Directions.
Trans. Mach. Learn. Res.
Lixu Wang, Yinggang Sun, Yang Zhao, JiaQi Wu, Jiahua Dong, Ating Yin, Qinbin Li, Qingqing Ye, Dusit Niyato, Tianwei Zhang, Kwok-Yan Lam, Haining Yu, Haibo Hu, Wei Dong
2026 J jnl
LabelDP Leaks Privacy - A Tightened Correlation-Aware Privacy Model for Labeled Training Data.
IEEE Trans. Dependable Secur. Comput.
Qiao Xue, Qingqing Ye, Haibo Hu, Jian Lou, Jin Li, Chengfang Fang, Jie Shi
2026 J jnl
Machine Unlearning in Low-Dimensional Feature Subspace.
CoRR
Kun Fang, Qinghua Tao, Junxu Liu, Yaxin Xiao, Qingqing Ye, Jian Sun, Haibo Hu
2026 J jnl
On the Adversarial Robustness of Large Vision-Language Models under Visual Token Compression.
CoRR
Xinwei Zhang, Hangcheng Liu, Li Bai, Hao Wang, Qingqing Ye, Tianwei Zhang, Haibo Hu
2026 J jnl
RATR: Optimized Trajectory Release With Temporal Local Differential Privacy.
IEEE Trans. Dependable Secur. Comput.
Shiyu Zhang, Qingqing Ye, Junxu Liu, Kai Huang, Yulian Mao, Xinyue Sun, Wei Dong, Haibo Hu
2026 J jnl
Robust Single-message Shuffle Differential Privacy Protocol for Accurate Distribution Estimation.
CoRR
Xiaoguang Li, Hanyi Wang, Yaowei Huang, Jungang Yang, Qingqing Ye, Haonan Yan, Ke Pan, Zhe Sun, Hui Li
2026 J jnl
SUGPT: Efficient Graph Unsummarization for the Right to Be Forgotten.
IEEE Trans. Knowl. Data Eng.
Zitong Li, Qingqing Ye, Haibo Hu, Xin Huang, Junxu Liu, Xiaofeng Meng
2026 J jnl
Understanding and Enhancing Encoder-based Adversarial Transferability against Large Vision-Language Models.
CoRR
Xinwei Zhang, Li Bai, Tianwei Zhang, Youqian Zhang, Qingqing Ye, Yingnan Zhao, Ruochen Du, Haibo Hu
2026 J jnl
United We Defend: Collaborative Membership Inference Defenses in Federated Learning.
CoRR
Li Bai, Junxu Liu, Sen Zhang, Xinwei Zhang, Qingqing Ye, Haibo Hu
2025 — conf
"Yes, My LoRD." Guiding Language Model Extraction with Locality Reinforced Distillation.
ACL (1)
Zi Liang, Qingqing Ye, Yanyun Wang, Sen Zhang, Yaxin Xiao, Ronghua Li, Jianliang Xu, Haibo Hu
2025 J jnl
A Novel Modeling Approach for Cumulative Belief Rule-Base With Joint Optimization and Rule Synthesis.
IEEE Trans. Syst. Man Cybern. Syst.
Long-Hao Yang, Dan-Ning Yu, Fei-Fei Ye, Haibo Hu, Qingqing Ye
2025 A* conf
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks.
AAAI
Haoyang Li, Li Bai, Qingqing Ye, Haibo Hu, Yaxin Xiao, Huadi Zheng, Jianliang Xu
2025 J jnl
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks.
CoRR
Haoyang Li, Li Bai, Qingqing Ye, Haibo Hu, Yaxin Xiao, Huadi Zheng, Jianliang Xu
2025 J jnl
A Survey on Securing Image-Centric Edge Intelligence.
ACM Trans. Multim. Comput. Commun. Appl.
Li Tang, Haibo Hu, Moncef Gabbouj, Qingqing Ye, Yang Xiang, Jin Li, Lang Li
2025 A* conf
AdvSGM: Differentially Private Graph Learning via Adversarial Skip-Gram Model.
ICDE
Sen Zhang, Qingqing Ye, Haibo Hu, Jianliang Xu
2025 J jnl
AdvSGM: Differentially Private Graph Learning via Adversarial Skip-gram Model.
CoRR
Sen Zhang, Qingqing Ye, Haibo Hu, Jianliang Xu
2025 J jnl
Adversarial Signed Graph Learning with Differential Privacy.
CoRR
Haobin Ke, Sen Zhang, Qingqing Ye, Xun Ran, Haibo Hu
2025 J jnl
Analyzing and Enhancing LDP Perturbation Mechanisms in Federated Learning.
IEEE Trans. Knowl. Data Eng.
Jiawei Duan, Qingqing Ye, Haibo Hu, Xinyue Sun
2025 A* conf
Analyzing and Optimizing Perturbation of DP-SGD Geometrically.
ICDE
Jiawei Duan, Haibo Hu, Qingqing Ye, Xinyue Sun
2025 J jnl
Auditing MLaaS Inference Service Quality Without Ground Truth via Mutual Information.
IEEE Trans. Inf. Forensics Secur.
Jiang Zhu, Qingqing Ye, Haibo Hu, Li Bai
2025 J jnl
Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks.
CoRR
Yaxin Xiao, Qingqing Ye, Zi Liang, Haoyang Li, Ronghua Li, Huadi Zheng, Haibo Hu
2025 J jnl
Collecting Multi-type and Correlation-Constrained Streaming Sensor Data with Local Differential Privacy.
ACM Trans. Sens. Networks
Yue Fu, Qingqing Ye, Rong Du, Haibo Hu
2025 J jnl
DPDeno: A Post-Processing Framework for Releasing Differentially Private Spatio-Temporal Mobility Features.
IEEE Trans. Inf. Forensics Secur.
Xinyue Sun, Xiaoyu Liu, Qingqing Ye, Haibo Hu, Renyu Yang, Hui He, Weizhe Zhang
2025 A* conf
Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs.
ICDE
Xi He, Kai Huang, Qingqing Ye, Haibo Hu
2025 J jnl
Decision Potential Surface: A Theoretical and Practical Approximation of LLM's Decision Boundary.
CoRR
Zi Liang, Zhiyao Wu, Haoyang Shang, Yulin Jin, Qingqing Ye, Huadi Zheng, Peizhao Hu, Haibo Hu
2025 A* conf
Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks?
ICML
Zi Liang, Haibo Hu, Qingqing Ye, Yaxin Xiao, Ronghua Li
2025 J jnl
Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks?
CoRR
Zi Liang, Haibo Hu, Qingqing Ye, Yaxin Xiao, Ronghua Li
2025 A* conf
Dual Utilization of Perturbation for Stream Data Publication Under Local Differential Privacy.
ICDE
Rong Du, Qingqing Ye, Yaxin Xiao, Liantong Yu, Yue Fu, Haibo Hu
2025 J jnl
Dual Utilization of Perturbation for Stream Data Publication under Local Differential Privacy.
CoRR
Rong Du, Qingqing Ye, Yaxin Xiao, Liantong Yu, Yue Fu, Haibo Hu
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 A* conf
Exploring Intrinsic Alignments Within Text Corpus.
AAAI
Zi Liang, Pinghui Wang, Ruofei Zhang, Haibo Hu, Shuo Zhang, Qingqing Ye, Nuo Xu, Yaxin Xiao, Chen Zhang, Lizhen Cui
2025 A* conf
FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning.
WWW
Zitong Li, Qingqing Ye, Haibo Hu
2025 J jnl
FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning.
CoRR
Zitong Li, Qingqing Ye, Haibo Hu
2025 J jnl
Federated Heavy Hitter Analytics with Local Differential Privacy.
Proc. ACM Manag. Data
Yuemin Zhang, Qingqing Ye, Haibo Hu
2025 J jnl
Fine-tuning is Not Fine: Mitigating Backdoor Attacks in GNNs with Limited Clean Data.
CoRR
Jiale Zhang, Bosen Rao, Chengcheng Zhu, Xiaobing Sun, Qingming Li, Haibo Hu, Xiapu Luo, Qingqing Ye, Shouling Ji
2025 A* conf
From Randomized Response to Randomized Index: Answering Subset Counting Queries with Local Differential Privacy.
SP
Qingqing Ye, Liantong Yu, Kai Huang, Xiaokui Xiao, Weiran Liu, Haibo Hu
2025 J jnl
From Randomized Response to Randomized Index: Answering Subset Counting Queries with Local Differential Privacy.
CoRR
Qingqing Ye, Liantong Yu, Kai Huang, Xiaokui Xiao, Weiran Liu, Haibo Hu
2025 J jnl
GeoRecover: Recovery From Poisoning Attacks for LDP-Enabled Spatial Density Aggregation.
IEEE Trans. Knowl. Data Eng.
Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Hui He, Weizhe Zhang
2025 J jnl
How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation under the One-Time-Pad-Based Framework.
CoRR
Zi Liang, Liantong Yu, Shiyu Zhang, Qingqing Ye, Haibo Hu
2025 A* conf
MER-Inspector: Assessing Model Extraction Risks from An Attack-Agnostic Perspective.
WWW
Xinwei Zhang, Haibo Hu, Qingqing Ye, Li Bai, Huadi Zheng
2025 J jnl
MER-Inspector: Assessing model extraction risks from an attack-agnostic perspective.
CoRR
Xinwei Zhang, Haibo Hu, Qingqing Ye, Li Bai, Huadi Zheng
2025 J jnl
Membership Inference Attacks and Defenses in Federated Learning: A Survey.
ACM Comput. Surv.
Li Bai, Haibo Hu, Qingqing Ye, Haoyang Li, Leixia Wang, Jianliang Xu
2025 A* conf
Multi-Class Item Mining Under Local Differential Privacy.
ICDE
Yulian Mao, Qingqing Ye, Rong Du, Qi Wang, Kai Huang, Haibo Hu
2025 J jnl
Multi-class Item Mining under Local Differential Privacy.
CoRR
Yulian Mao, Qingqing Ye, Rong Du, Qi Wang, Kai Huang, Haibo Hu
2025 J jnl
Multi-hop sanitizable signature for collaborative edge computing.
J. Comput. Secur.
Haotian Yan, Haibo Hu, Qingqing Ye, Jianliang Xu
2025 A* conf
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models.
EMNLP
Xiaoyu Xu, Minxin Du, Qingqing Ye, Haibo Hu
2025 J jnl
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models.
CoRR
Xiaoyu Xu, Minxin Du, Qingqing Ye, Haibo Hu
2025 — conf
PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy.
KDD (1)
Sen Zhang, Haibo Hu, Qingqing Ye, Jianliang Xu
2025 J jnl
PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy.
CoRR
Sen Zhang, Haibo Hu, Qingqing Ye, Jianliang Xu
2025 A* conf
PrivIM: Differentially Private Graph Neural Networks for Influence Maximization.
ICDE
Renxuan Hou, Qingqing Ye, Xun Ran, Sen Zhang, Haibo Hu
2025 J jnl
Privacy for Free: Leveraging Local Differential Privacy Perturbed Data from Multiple Services.
CoRR
Rong Du, Qingqing Ye, Yue Fu, Haibo Hu
2025 J jnl
Privacy for Free: Leveraging Local Differential Privacy Perturbed Data from Multiple Services.
Proc. VLDB Endow.
Rong Du, Qingqing Ye, Yue Fu, Haibo Hu
2025 J jnl
ProVFL: Property Inference Attacks Against Vertical Federated Learning.
IEEE Trans. Inf. Forensics Secur.
Li Bai, Xinwei Zhang, Sen Zhang, Qingqing Ye, Haibo Hu
2025 J jnl
RMR: A Relative Membership Risk Measure for Machine Learning Models.
IEEE Trans. Dependable Secur. Comput.
Li Bai, Haibo Hu, Qingqing Ye, Jianliang Xu, Jin Li, Chengfang Fang, Jie Shi
2025 J jnl
Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy.
CoRR
Yaxin Xiao, Qingqing Ye, Li Hu, Huadi Zheng, Haibo Hu, Zi Liang, Haoyang Li, Yijie Jiao
2025 J jnl
SEBA: Sample-Efficient Black-Box Attacks on Visual Reinforcement Learning.
CoRR
Tairan Huang, Yulin Jin, Junxu Liu, Qingqing Ye, Haibo Hu
2025 J jnl
Secure bi-attribute index: Batch membership tests over the non-sensitive attribute.
Comput. Secur.
Yue Fu, Qingqing Ye, Rong Du, Haibo Hu
2025 A* conf
Structure-Preference Enabled Graph Embedding Generation Under Differential Privacy.
ICDE
Sen Zhang, Qingqing Ye, Haibo Hu
2025 J jnl
Structure-Preference Enabled Graph Embedding Generation under Differential Privacy.
CoRR
Sen Zhang, Qingqing Ye, Haibo Hu
2025 J jnl
Technical Report: Full Version of Analyzing and Optimizing Perturbation of DP-SGD Geometrically.
CoRR
Jiawei Duan, Haibo Hu, Qingqing Ye, Xinyue Sun
2025 J jnl
Top-k Discovery Under Local Differential Privacy: An Adaptive Sampling Approach.
IEEE Trans. Dependable Secur. Comput.
Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Kai Huang
2025 J jnl
Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts.
CoRR
Li Bai, Qingqing Ye, Xinwei Zhang, Sen Zhang, Zi Liang, Jianliang Xu, Haibo Hu
2025 J jnl
Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs.
CoRR
Xiaoyu Xu, Xiang Yue, Yang Liu, Qingqing Ye, Haibo Hu, Minxin Du
2025 J jnl
Unlocking High-Fidelity Learning: Towards Neuron-Grained Model Extraction.
IEEE Trans. Dependable Secur. Comput.
Yaxin Xiao, Haibo Hu, Qingqing Ye, Li Tang, Zi Liang, Huadi Zheng
2025 J jnl
Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data.
CoRR
Zi Liang, Qingqing Ye, Xiang-Yang Alex Liu, Yanyun Wang, Jianliang Xu, Haibo Hu
2025 J jnl
WiFinger: Fingerprinting Noisy IoT Event Traffic Using Packet-level Sequence Matching.
CoRR
Ronghua Li, Shinan Liu, Haibo Hu, Qingqing Ye, Nick Feamster
2024 J jnl
A Federated Learning Framework Based on Differentially Private Continuous Data Release.
IEEE Trans. Dependable Secur. Comput.
Jianping Cai, Ximeng Liu, Qingqing Ye, Yang Liu, Yuyang Wang
2024 J jnl
Alignment-Aware Model Extraction Attacks on Large Language Models.
CoRR
Zi Liang, Qingqing Ye, Yanyun Wang, Sen Zhang, Yaxin Xiao, Ronghua Li, Jianliang Xu, Haibo Hu
2024 J jnl
Boosting Accuracy of Differentially Private Continuous Data Release for Federated Learning.
IEEE Trans. Inf. Forensics Secur.
Jianping Cai, Qingqing Ye, Haibo Hu, Ximeng Liu, Yanggeng Fu
2024 J jnl
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release.
Proc. VLDB Endow.
Jie Fu, Qingqing Ye, Haibo Hu, Zhili Chen, Lulu Wang, Kuncan Wang, Xun Ran
2024 J jnl
DWSSA: Alleviating over-smoothness for deep Graph Neural Networks.
Neural Networks
Qirong Zhang, Jin Li, Qingqing Ye, Yuxi Lin, Xinlong Chen, Yang-Geng Fu
2024 J jnl
Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs.
CoRR
Xi He, Kai Huang, Qingqing Ye, Haibo Hu
2024 J jnl
DeepMark: A Scalable and Robust Framework for DeepFake Video Detection.
ACM Trans. Priv. Secur.
Li Tang, Qingqing Ye, Haibo Hu, Qiao Xue, Yaxin Xiao, Jin Li
2024 J jnl
Differential Privacy for Time Series: A Survey.
IEEE Data Eng. Bull.
Yulian Mao, Qingqing Ye, Qi Wang, Haibo Hu
2024 A* conf
Differentially Private Graph Neural Networks for Link Prediction.
ICDE
Xun Ran, Qingqing Ye, Haibo Hu, Xin Huang, Jianliang Xu, Jie Fu
2024 J jnl
EPS$^{2}$2: Privacy Preserving Set-Valued Data Analysis in the Shuffle Model.
IEEE Trans. Knowl. Data Eng.
Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng
2024 A* conf
FRESH: Towards Efficient Graph Queries in an Outsourced Graph.
ICDE
Kai Huang, Yunqi Li, Qingqing Ye, Yao Tian, Xi Zhao, Yue Cui, Haibo Hu, Xiaofang Zhou
2024 J jnl
Federated Heavy Hitter Analytics with Local Differential Privacy.
CoRR
Yuemin Zhang, Qingqing Ye, Haibo Hu
2024 J jnl
Generating Location Traces With Semantic- Constrained Local Differential Privacy.
IEEE Trans. Inf. Forensics Secur.
Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Qiao Xue, Tianyu Wo, Weizhe Zhang, Jie Xu
2024 A* conf
Interactive Trimming Against Evasive Online Data Manipulation Attacks: A Game-Theoretic Approach.
ICDE
Yue Fu, Qingqing Ye, Rong Du, Haibo Hu
2024 J jnl
Interactive Trimming against Evasive Online Data Manipulation Attacks: A Game-Theoretic Approach.
CoRR
Yue Fu, Qingqing Ye, Rong Du, Haibo Hu
2024 — conf
LDP-Purifier: Defending against Poisoning Attacks in Local Differential Privacy.
DASFAA (4)
Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng, Kai Huang
2024 J jnl
LDPGuard: Defenses Against Data Poisoning Attacks to Local Differential Privacy Protocols.
IEEE Trans. Knowl. Data Eng.
Kai Huang, Gaoya Ouyang, Qingqing Ye, Haibo Hu, Bolong Zheng, Xi Zhao, Ruiyuan Zhang, Xiaofang Zhou
2024 A* conf
LDPRecover: Recovering Frequencies from Poisoning Attacks Against Local Differential Privacy.
ICDE
Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Tianyu Wo, Jie Xu, Renyu Yang
2024 J jnl
LDPRecover: Recovering Frequencies from Poisoning Attacks against Local Differential Privacy.
CoRR
Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Tianyu Wo, Jie Xu, Renyu Yang
2024 J jnl
LDPTube: Theoretical Utility Benchmark and Enhancement for LDP Mechanisms in High-Dimensional Space.
IEEE Trans. Knowl. Data Eng.
Jiawei Duan, Qingqing Ye, Haibo Hu, Xinyue Sun
2024 J jnl
Membership Inference Attacks and Defenses in Federated Learning: A Survey.
CoRR
Li Bai, Haibo Hu, Qingqing Ye, Haoyang Li, Leixia Wang, Jianliang Xu
2024 J jnl
New Paradigm of Adversarial Training: Breaking Inherent Trade-Off between Accuracy and Robustness via Dummy Classes.
CoRR
Yanyun Wang, Li Liu, Zi Liang, Qingqing Ye, Haibo Hu
2024 J jnl
PUTS: Privacy-Preserving and Utility-Enhancing Framework for Trajectory Synthesization.
IEEE Trans. Knowl. Data Eng.
Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Qiao Xue, Tianyu Wo, Jie Xu
2024 J jnl
PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy.
CoRR
Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng
2024 J jnl
PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy.
Proc. VLDB Endow.
Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng
2024 A* conf
PrivShape: Extracting Shapes in Time Series Under User-Level Local Differential Privacy.
ICDE
Yulian Mao, Qingqing Ye, Haibo Hu, Qi Wang, Kai Huang
2024 J jnl
PrivShape: Extracting Shapes in Time Series under User-Level Local Differential Privacy.
CoRR
Yulian Mao, Qingqing Ye, Haibo Hu, Qi Wang, Kai Huang
2024 J jnl
RFTrack: Stealthy Location Inference and Tracking Attack on Wi-Fi Devices.
IEEE Trans. Inf. Forensics Secur.
Ronghua Li, Haibo Hu, Qingqing Ye
2024 J jnl
TED$^+$+: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database.
IEEE Trans. Knowl. Data Eng.
Kai Huang, Yue Cui, Qingqing Ye, Yan Zhao, Xi Zhao, Yao Tian, Kai Zheng, Haibo Hu, Xiaofang Zhou
2024 — conf
Time-Specific Integrity Service in MQTT Protocol.
IPSN
Haotian Yan, Haibo Hu, Qingqing Ye
2024 J jnl
Utility-Aware Time Series Data Release With Anomalies Under TLDP.
IEEE Trans. Mob. Comput.
Yulian Mao, Qingqing Ye, Qi Wang, Haibo Hu
2024 J jnl
Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models.
CoRR
Zi Liang, Haibo Hu, Qingqing Ye, Yaxin Xiao, Haoyang Li
2023 A* conf
3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning.
SP
Haoyang Li, Qingqing Ye, Haibo Hu, Jin Li, Leixia Wang, Chengfang Fang, Jie Shi
2023 B conf
CGP: Centroid-guided Graph Poisoning for Link Inference Attacks in Graph Neural Networks.
IEEE Big Data
Haozhe Tian, Haibo Hu, Qingqing Ye
2023 J jnl
Collaborative Sampling for Partial Multi-Dimensional Value Collection Under Local Differential Privacy.
IEEE Trans. Inf. Forensics Secur.
Qiuyu Qian, Qingqing Ye, Haibo Hu, Kai Huang, Tom Tak-Lam Chan, Jin Li
2023 J jnl
DDRM: A Continual Frequency Estimation Mechanism With Local Differential Privacy.
IEEE Trans. Knowl. Data Eng.
Qiao Xue, Qingqing Ye, Haibo Hu, Youwen Zhu, Jian Wang
2023 J jnl
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release.
CoRR
Jie Fu, Qingqing Ye, Haibo Hu, Zhili Chen, Lulu Wang, Kuncan Wang, Xun Ran
2023 A* conf
Differential Aggregation against General Colluding Attackers.
ICDE
Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Jin Li, Chengfang Fang, Jie Shi
2023 J jnl
Differential Aggregation against General Colluding Attackers.
CoRR
Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Jin Li, Chengfang Fang, Jie Shi
2023 J jnl
Efficient and lightweight indexing approach for multi-dimensional historical data in blockchain.
Future Gener. Comput. Syst.
Bikash Chandra Singh, Qingqing Ye, Haibo Hu, Bin Xiao
2023 J jnl
OTKI-F: An efficient memory-secure multi-keyword fuzzy search protocol.
J. Comput. Secur.
Ziyang Han, Qingqing Ye, Haibo Hu
2023 J jnl
Partial message verification in fog-based industrial Internet of things.
Comput. Secur.
Haotian Yan, Haibo Hu, Qingqing Ye
2023 J jnl
PrivKVM*: Revisiting Key-Value Statistics Estimation With Local Differential Privacy.
IEEE Trans. Dependable Secur. Comput.
Qingqing Ye, Haibo Hu, Xiaofeng Meng, Huadi Zheng, Kai Huang, Chengfang Fang, Jie Shi
2023 J jnl
ReFlat: A Robust Access Pattern Hiding Solution for General Cloud Query Processing Based on K-Isomorphism and Hardware Enclave.
IEEE Trans. Cloud Comput.
Ziyang Han, Haibo Hu, Qingqing Ye
2023 J jnl
Secure Traffic Monitoring With Spatio-Temporal Metadata Protection Using Oblivious RAM.
IEEE Trans. Intell. Transp. Syst.
Li Tang, Qingqing Ye, Haibo Hu, Man Ho Au
2023 A* conf
Stateful Switch: Optimized Time Series Release with Local Differential Privacy.
INFOCOM
Qingqing Ye, Haibo Hu, Kai Huang, Man Ho Au, Qiao Xue
2023 J jnl
Synthesizing Realistic Trajectory Data With Differential Privacy.
IEEE Trans. Intell. Transp. Syst.
Xinyue Sun, Qingqing Ye, Haibo Hu, Yuandong Wang, Kai Huang, Tianyu Wo, Jie Xu
2023 J jnl
TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database.
Proc. ACM Manag. Data
Kai Huang, Haibo Hu, Qingqing Ye, Kai Tian, Bolong Zheng, Xiaofang Zhou
2023 — conf
Towards Defending Against Byzantine LDP Amplified Gain Attacks.
DASFAA (1)
Yukun Yan, Qingqing Ye, Haibo Hu, Rui Chen, Qilong Han, Leixia Wang
2023 J jnl
Trajectory Data Collection with Local Differential Privacy.
CoRR
Yuemin Zhang, Qingqing Ye, Rui Chen, Haibo Hu, Qilong Han
2023 J jnl
Trajectory Data Collection with Local Differential Privacy.
Proc. VLDB Endow.
Yuemin Zhang, Qingqing Ye, Rui Chen, Haibo Hu, Qilong Han
2022 J jnl
Efficient Verifiably Encrypted ECDSA-Like Signatures and Their Applications.
IEEE Trans. Inf. Forensics Secur.
Xiao Yang, Mengling Liu, Man Ho Au, Xiapu Luo, Qingqing Ye
2022 J jnl
LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy.
IEEE Trans. Knowl. Data Eng.
Qingqing Ye, Haibo Hu, Man Ho Au, Xiaofeng Meng, Xiaokui Xiao
2022 A* conf
MExMI: Pool-based Active Model Extraction Crossover Membership Inference.
NeurIPS
Yaxin Xiao, Qingqing Ye, Haibo Hu, Huadi Zheng, Chengfang Fang, Jie Shi
2022 J jnl
Privacy and efficiency guaranteed social subgraph matching.
VLDB J.
Kai Huang, Haibo Hu, Shuigeng Zhou, Jihong Guan, Qingqing Ye, Xiaofang Zhou
2022 J jnl
Protecting Decision Boundary of Machine Learning Model With Differentially Private Perturbation.
IEEE Trans. Dependable Secur. Comput.
Huadi Zheng, Qingqing Ye, Haibo Hu, Chengfang Fang, Jie Shi
2022 J jnl
SPMAC: Scalable Prefix Verifiable Message Authentication Code for Internet of Things.
IEEE Trans. Netw. Serv. Manag.
Haotian Yan, Haibo Hu, Qingqing Ye, Li Tang
2022 J jnl
Stateful Switch: Optimized Time Series Release with Local Differential Privacy.
CoRR
Qingqing Ye, Haibo Hu, Kai Huang, Man Ho Au, Qiao Xue
2022 J jnl
Stateful-CCSH: An Efficient Authentication Scheme for High-Resolution Video Surveillance System.
IEEE Internet Things J.
Li Tang, Qingqing Ye, Huadi Zheng, Haibo Hu, Ziyang Han, Ngai-Fong Law
2022 J jnl
TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database.
CoRR
Kai Huang, Haibo Hu, Qingqing Ye, Kai Tian, Bolong Zheng, Xiaofang Zhou
2022 — conf
Unified Proof of Work: Delegating and Solving Customized Computationally Bounded Problems in a Privacy-Preserving Way.
APWeb/WAIM (3)
Yue Fu, Qingqing Ye, Rong Du, Haibo Hu
2022 A* conf
Utility Analysis and Enhancement of LDP Mechanisms in High-Dimensional Space.
ICDE
Jiawei Duan, Qingqing Ye, Haibo Hu
2022 J jnl
Utility Analysis and Enhancement of LDP Mechanisms in High-Dimensional Space.
CoRR
Jiawei Duan, Qingqing Ye, Haibo Hu
2022 J jnl
VINCENT: Towards Efficient Exploratory Subgraph Search in Graph Databases.
Proc. VLDB Endow.
Kai Huang, Qingqing Ye, Jing Zhao, Xi Zhao, Haibo Hu, Xiaofang Zhou
2021 A* conf
Beyond Value Perturbation: Local Differential Privacy in the Temporal Setting.
INFOCOM
Qingqing Ye, Haibo Hu, Ninghui Li, Xiaofeng Meng, Huadi Zheng, Haotian Yan
2021 B conf
Collecting High-Dimensional and Correlation-Constrained Data with Local Differential Privacy.
SECON
Rong Du, Qingqing Ye, Yue Fu, Haibo Hu
2020 J jnl
Practical Escrow Protocol for Bitcoin.
IEEE Trans. Inf. Forensics Secur.
Xiao Yang, Wang Fat Lau, Qingqing Ye, Man Ho Au, Joseph K. Liu, Jacob Cheng
2020 A* conf
Towards Locally Differentially Private Generic Graph Metric Estimation.
ICDE
Qingqing Ye, Haibo Hu, Man Ho Au, Xiaofeng Meng, Xiaokui Xiao
2019 — conf
BDPL: A Boundary Differentially Private Layer Against Machine Learning Model Extraction Attacks.
ESORICS (1)
Huadi Zheng, Qingqing Ye, Haibo Hu, Chengfang Fang, Jie Shi
2019 — conf
Local Differential Privacy: Tools, Challenges, and Opportunities.
WISE Workshops
Qingqing Ye, Haibo Hu
2019 B conf
Mobile Data Collection and Analysis with Local Differential Privacy.
MDM
Ninghui Li, Qingqing Ye
2019 A* conf
PrivKV: Key-Value Data Collection with Local Differential Privacy.
IEEE Symposium on Security and Privacy
Qingqing Ye, Haibo Hu, Xiaofeng Meng, Huadi Zheng