Shengshan Hu

147 papers A* 38A 7B 2C 1Misc 5Journal 85Unranked 9
YearRankTypeTitle / Venue / Authors
2026 A* conf
Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure.
AAAI
Lulu Xue, Shengshan Hu, Linqiang Qian, Peijin Guo, Yechao Zhang, Minghui Li, Yanjun Zhang, Dayong Ye, Leo Yu Zhang
2026 J jnl
Erosion Attack for Adversarial Training to Enhance Semantic Segmentation Robustness.
CoRR
Yufei Song, Ziqi Zhou, Menghao Deng, Yifan Hu, Shengshan Hu, Minghui Li, Leo Yu Zhang
2026 J jnl
Fine-Grained Poisoning Framework Against Federated Learning.
IEEE Trans. Dependable Secur. Comput.
Minghui Li, Hangtao Zhang, Yanjun Zhang, Li Zeng, Chao Chen, Qiyun Shao, Wei Wan, Shengshan Hu, Leo Yu Zhang
2026 J jnl
Privacy-Preserving Automated Deep Learning for Secure Inference Service.
IEEE Trans. Dependable Secur. Comput.
Fuyi Wang, Jinzhi Ouyang, Leo Yu Zhang, Lei Pan, Shengshan Hu, Xiaoning Liu, Robin Doss
2026 J jnl
UnlearnShield: Shielding Forgotten Privacy against Unlearning Inversion.
CoRR
Lulu Xue, Shengshan Hu, Wei Lu, Ziqi Zhou, Yufei Song, Jianhong Cheng, Minghui Li, Yanjun Zhang, Leo Yu Zhang
2025 J jnl
ADVEDM:Fine-grained Adversarial Attack against VLM-based Embodied Agents.
CoRR
Yichen Wang, Hangtao Zhang, Hewen Pan, Ziqi Zhou, Xianlong Wang, Peijin Guo, Lulu Xue, Shengshan Hu, Minghui Li, Leo Yu Zhang
2025 Misc conf
An Efficient Residual-based Low-dose PET Reconstruction with Spatial-Frequency Integration.
ICASSP
Minghui Li, Lei Yu, Hewen Pan, Shengqing Hu, Longling Zhang, Shengshan Hu, Wei Wan, Peijin Guo
2025 A* conf
BadRobot: Jailbreaking Embodied LLM Agents in the Physical World.
ICLR
Hangtao Zhang, Chenyu Zhu, Xianlong Wang, Ziqi Zhou, Changgan Yin, Minghui Li, Lulu Xue, Yichen Wang, Shengshan Hu, Aishan Liu, Peijin Guo, Leo Yu Zhang
2025 A* conf
Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature.
AAAI
Yichen Wang, Yuxuan Chou, Ziqi Zhou, Hangtao Zhang, Wei Wan, Shengshan Hu, Minghui Li
2025 J jnl
DarkHash: A Data-Free Backdoor Attack Against Deep Hashing.
CoRR
Ziqi Zhou, Menghao Deng, Yufei Song, Hangtao Zhang, Wei Wan, Shengshan Hu, Minghui Li, Leo Yu Zhang, Dezhong Yao
2025 J jnl
DarkHash: A Data-Free Backdoor Attack Against Deep Hashing.
IEEE Trans. Inf. Forensics Secur.
Ziqi Zhou, Menghao Deng, Yufei Song, Hangtao Zhang, Wei Wan, Shengshan Hu, Minghui Li, Leo Yu Zhang, Dezhong Yao
2025 A* conf
Detecting and Corrupting Convolution-based Unlearnable Examples.
AAAI
Minghui Li, Xianlong Wang, Zhifei Yu, Shengshan Hu, Ziqi Zhou, Longling Zhang, Leo Yu Zhang
2025 J jnl
Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure.
CoRR
Lulu Xue, Shengshan Hu, Linqiang Qian, Peijin Guo, Yechao Zhang, Minghui Li, Yanjun Zhang, Dayong Ye, Leo Yu Zhang
2025 J jnl
Exploring Gradient-Guided Masked Language Model to Detect Textual Adversarial Attacks.
CoRR
Xiaomei Zhang, Zhaoxi Zhang, Yanjun Zhang, Xufei Zheng, Leo Yu Zhang, Shengshan Hu, Shirui Pan
2025 A conf
FedLTH: A Privacy-preserving Federated Learning Framework with Model Pruning on Edge Clients.
ICDCS
Heyu Zhang, Yulai Xie, Shengshan Hu, Miao He, Peisong He, Jun Zheng, Dan Feng
2025 — conf
HiF-DTA: Hierarchical Feature Learning Network for Drug-Target Affinity Prediction.
BIBM
Minghui Li, Yuanhang Wang, Peijin Guo, Wei Wan, Shengshan Hu, Shengqing Hu
2025 J jnl
HiF-DTA: Hierarchical Feature Learning Network for Drug-Target Affinity Prediction.
CoRR
Minghui Li, Yuanhang Wang, Peijin Guo, Wei Wan, Shengshan Hu, Shengqing Hu
2025 A* conf
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization.
AAAI
Yechao Zhang, Yingzhe Xu, Junyu Shi, Leo Yu Zhang, Shengshan Hu, Minghui Li, Yanjun Zhang
2025 J jnl
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization.
CoRR
Yechao Zhang, Yingzhe Xu, Junyu Shi, Leo Yu Zhang, Shengshan Hu, Minghui Li, Yanjun Zhang
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 J jnl
MVSF-AB: accurate antibody-antigen binding affinity prediction via multi-view sequence feature learning.
Bioinform.
Minghui Li, Yao Shi, Shengqing Hu, Shengshan Hu, Peijin Guo, Wei Wan, Leo Yu Zhang, Shirui Pan, Jizhou Li, Lichao Sun, Xiaoli Lan
2025 A* conf
Manipulating Multimodal Agents via Cross-Modal Prompt Injection.
ACM Multimedia
Le Wang, Zonghao Ying, Tianyuan Zhang, Siyuan Liang, Shengshan Hu, Mingchuan Zhang, Aishan Liu, Xianglong Liu
2025 J jnl
Manipulating Multimodal Agents via Cross-Modal Prompt Injection.
CoRR
Le Wang, Zonghao Ying, Tianyuan Zhang, Siyuan Liang, Shengshan Hu, Mingchuan Zhang, Aishan Liu, Xianglong Liu
2025 A conf
Multi-Modality Representation Learning for Antibody-Antigen Interactions Prediction.
ICME
Peijin Guo, Minghui Li, Hewen Pan, Ruixiang Huang, Lulu Xue, Shengqing Hu, Zikang Guo, Wei Wan, Shengshan Hu
2025 J jnl
Multi-Modality Representation Learning for Antibody-Antigen Interactions Prediction.
CoRR
Peijin Guo, Minghui Li, Hewen Pan, Ruixiang Huang, Lulu Xue, Shengqing Hu, Zikang Guo, Wei Wan, Shengshan Hu
2025 A* conf
NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors.
AAAI
Ziqi Zhou, Bowen Li, Yufei Song, Zhifei Yu, Shengshan Hu, Wei Wan, Leo Yu Zhang, Dezhong Yao, Hai Jin
2025 Misc conf
PB-UAP: Hybride Universal Adversarial Attack for Image Segmentation.
ICASSP
Yufei Song, Ziqi Zhou, Minghui Li, Xianlong Wang, Hangtao Zhang, Menghao Deng, Wei Wan, Shengshan Hu, Leo Yu Zhang
2025 Misc conf
Robust Point Cloud Recognition Model Sharing.
SEC
Qiufan Ji, Lin Wang, Cong Shi, Shengshan Hu, Yingying Chen, Lichao Sun
2025 A* conf
Secure Transfer Learning: Training Clean Model Against Backdoor in Pre-Trained Encoder and Downstream Dataset.
SP
Yechao Zhang, Yuxuan Zhou, Tianyu Li, Minghui Li, Shengshan Hu, Wei Luo, Leo Yu Zhang
2025 J jnl
Secure Transfer Learning: Training Clean Models Against Backdoor in (Both) Pre-trained Encoders and Downstream Datasets.
CoRR
Yechao Zhang, Yuxuan Zhou, Tianyu Li, Minghui Li, Shengshan Hu, Wei Luo, Leo Yu Zhang
2025 J jnl
SegTrans: Transferable Adversarial Examples for Segmentation Models.
CoRR
Yufei Song, Ziqi Zhou, Qi Lu, Hangtao Zhang, Yifan Hu, Lulu Xue, Shengshan Hu, Minghui Li, Leo Yu Zhang
2025 J jnl
Spa-VLM: Stealthy Poisoning Attacks on RAG-based VLM.
CoRR
Lei Yu, Yechao Zhang, Ziqi Zhou, Yang Wu, Wei Wan, Minghui Li, Shengshan Hu, Pei Xiaobing, Jing Wang
2025 A* conf
Test-Time Backdoor Detection for Object Detection Models.
CVPR
Hangtao Zhang, Yichen Wang, Shihui Yan, Chenyu Zhu, Ziqi Zhou, Linshan Hou, Shengshan Hu, Minghui Li, Yanjun Zhang, Leo Yu Zhang
2025 J jnl
Test-Time Backdoor Detection for Object Detection Models.
CoRR
Hangtao Zhang, Yichen Wang, Shihui Yan, Chenyu Zhu, Ziqi Zhou, Linshan Hou, Shengshan Hu, Minghui Li, Yanjun Zhang, Leo Yu Zhang
2025 J jnl
Towards Real-World Deepfake Detection: A Diverse In-the-wild Dataset of Forgery Faces.
CoRR
Junyu Shi, Minghui Li, Junguo Zuo, Zhifei Yu, Yipeng Lin, Shengshan Hu, Ziqi Zhou, Yechao Zhang, Wei Wan, Yinzhe Xu, Leo Yu Zhang
2025 J jnl
Towards Reliable Forgetting: A Survey on Machine Unlearning Verification, Challenges, and Future Directions.
CoRR
Lulu Xue, Shengshan Hu, Wei Lu, Yan Shen, Dongxu Li, Peijin Guo, Ziqi Zhou, Minghui Li, Yanjun Zhang, Leo Yu Zhang
2025 A* conf
Transferable Direct Prompt Injection via Activation-Guided MCMC Sampling.
EMNLP
Minghui Li, Hao Zhang, Yechao Zhang, Wei Wan, Shengshan Hu, Pei Xiaobing, Jing Wang
2025 J jnl
Transferable Direct Prompt Injection via Activation-Guided MCMC Sampling.
CoRR
Minghui Li, Hao Zhang, Yechao Zhang, Wei Wan, Shengshan Hu, Pei Xiaobing, Jing Wang
2025 J jnl
UFVideo: Towards Unified Fine-Grained Video Cooperative Understanding with Large Language Models.
CoRR
Hewen Pan, Cong Wei, Dashuang Liang, Zepeng Huang, Pengfei Gao, Ziqi Zhou, Lulu Xue, Pengfei Yan, Xiaoming Wei, Minghui Li, Shengshan Hu
2025 — conf
Uncertainty-Aware Metabolic Stability Prediction with Dual-View Contrastive Learning.
ECML/PKDD (3)
Peijin Guo, Minghui Li, Hewen Pan, Bowen Chen, Yang Wu, Zikang Guo, Leo Yu Zhang, Shengshan Hu, Shengqing Hu
2025 J jnl
Uncertainty-Aware Metabolic Stability Prediction with Dual-View Contrastive Learning.
CoRR
Peijin Guo, Minghui Li, Hewen Pan, Bowen Chen, Yang Wu, Zikang Guo, Leo Yu Zhang, Shengshan Hu, Shengqing Hu
2025 J jnl
Vanish into Thin Air: Cross-prompt Universal Adversarial Attacks for SAM2.
CoRR
Ziqi Zhou, Yifan Hu, Yufei Song, Zijing Li, Shengshan Hu, Leo Yu Zhang, Dezhong Yao, Long Zheng, Hai Jin
2025 — conf
sf SEBioID: Secure and Efficient Biometric Identification with Two-Party Computation.
ACNS (3)
Fuyi Wang, Jinzhi Ouyang, Leo Yu Zhang, Lei Pan, Shengshan Hu, Robin Doss, Jianying Zhou
2024 J jnl
BadRobot: Jailbreaking LLM-based Embodied AI in the Physical World.
CoRR
Hangtao Zhang, Chenyu Zhu, Xianlong Wang, Ziqi Zhou, Shengshan Hu, Leo Yu Zhang
2024 J jnl
Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature.
CoRR
Yichen Wang, Yuxuan Chou, Ziqi Zhou, Hangtao Zhang, Wei Wan, Shengshan Hu, Minghui Li
2024 A* conf
DarkFed: A Data-Free Backdoor Attack in Federated Learning.
IJCAI
Minghui Li, Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Leo Yu Zhang, Yichen Wang
2024 J jnl
DarkFed: A Data-Free Backdoor Attack in Federated Learning.
CoRR
Minghui Li, Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Leo Yu Zhang, Yichen Wang
2024 A* conf
DarkSAM: Fooling Segment Anything Model to Segment Nothing.
NeurIPS
Ziqi Zhou, Yufei Song, Minghui Li, Shengshan Hu, Xianlong Wang, Leo Yu Zhang, Dezhong Yao, Hai Jin
2024 J jnl
DarkSAM: Fooling Segment Anything Model to Segment Nothing.
CoRR
Ziqi Zhou, Yufei Song, Minghui Li, Shengshan Hu, Xianlong Wang, Leo Yu Zhang, Dezhong Yao, Hai Jin
2024 J jnl
Depriving the Survival Space of Adversaries Against Poisoned Gradients in Federated Learning.
IEEE Trans. Inf. Forensics Secur.
Jianrong Lu, Shengshan Hu, Wei Wan, Minghui Li, Leo Yu Zhang, Lulu Xue, Hai Jin
2024 A* conf
Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness in the Physical World.
IJCAI
Hangtao Zhang, Shengshan Hu, Yichen Wang, Leo Yu Zhang, Ziqi Zhou, Xianlong Wang, Yanjun Zhang, Chao Chen
2024 J jnl
Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness.
CoRR
Hangtao Zhang, Shengshan Hu, Yichen Wang, Leo Yu Zhang, Ziqi Zhou, Xianlong Wang, Yanjun Zhang, Chao Chen
2024 — conf
ECLIPSE: Expunging Clean-Label Indiscriminate Poisons via Sparse Diffusion Purification.
ESORICS (1)
Xianlong Wang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Leo Yu Zhang, Peng Xu, Wei Wan, Hai Jin
2024 J jnl
ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification.
CoRR
Xianlong Wang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Leo Yu Zhang, Peng Xu, Wei Wan, Hai Jin
2024 J jnl
FingerPattern: Securing Pattern Lock via Fingerprint-Dependent Friction Sound.
IEEE Trans. Mob. Comput.
Man Zhou, Yuting Zhou, Shuao Su, Qian Wang, Qi Li, Shengshan Hu, Chunwu Yu, Zhengxiong Li
2024 J jnl
Large Language Model Watermark Stealing With Mixed Integer Programming.
CoRR
Zhaoxi Zhang, Xiaomei Zhang, Yanjun Zhang, Leo Yu Zhang, Chao Chen, Shengshan Hu, Asif Gill, Shirui Pan
2024 Misc conf
MISA: Unveiling the Vulnerabilities in Split Federated Learning.
ICASSP
Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Minghui Li, Leo Yu Zhang, Hai Jin
2024 J jnl
NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors.
CoRR
Ziqi Zhou, Bowen Li, Yufei Song, Zhifei Yu, Shengshan Hu, Wei Wan, Leo Yu Zhang, Dezhong Yao, Hai Jin
2024 J jnl
PB-UAP: Hybrid Universal Adversarial Attack For Image Segmentation.
CoRR
Yufei Song, Ziqi Zhou, Minghui Li, Xianlong Wang, Menghao Deng, Wei Wan, Shengshan Hu, Leo Yu Zhang
2024 — conf
PointAPA: Towards Availability Poisoning Attacks in 3D Point Clouds.
ESORICS (1)
Xianlong Wang, Minghui Li, Peng Xu, Wei Liu, Leo Yu Zhang, Shengshan Hu, Yanjun Zhang
2024 A* conf
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks.
AAAI
Lulu Xue, Shengshan Hu, Ruizhi Zhao, Leo Yu Zhang, Shengqing Hu, Lichao Sun, Dezhong Yao
2024 J jnl
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks.
CoRR
Lulu Xue, Shengshan Hu, Ruizhi Zhao, Leo Yu Zhang, Shengqing Hu, Lichao Sun, Dezhong Yao
2024 A* conf
Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics.
SP
Xiaoxing Mo, Yechao Zhang, Leo Yu Zhang, Wei Luo, Nan Sun, Shengshan Hu, Shang Gao, Yang Xiang
2024 A* conf
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples.
SP
Ziqi Zhou, Minghui Li, Wei Liu, Shengshan Hu, Yechao Zhang, Wei Wan, Lulu Xue, Leo Yu Zhang, Dezhong Yao, Hai Jin
2024 J jnl
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples.
CoRR
Ziqi Zhou, Minghui Li, Wei Liu, Shengshan Hu, Yechao Zhang, Wei Wan, Lulu Xue, Leo Yu Zhang, Dezhong Yao, Hai Jin
2024 A conf
Stealing Watermarks of Large Language Models via Mixed Integer Programming.
ACSAC
Zhaoxi Zhang, Xiaomei Zhang, Yanjun Zhang, Leo Yu Zhang, Chao Chen, Shengshan Hu, Asif Gill, Shirui Pan
2024 Misc conf
Stealthy Backdoor Attack Towards Federated Automatic Speaker Verification.
ICASSP
Longling Zhang, Lyqi Liu, Dan Meng, Jun Wang, Shengshan Hu
2024 A* conf
Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation.
AAAI
Di Mi, Yanjun Zhang, Leo Yu Zhang, Shengshan Hu, Qi Zhong, Haizhuan Yuan, Shirui Pan
2024 J jnl
Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation.
CoRR
Di Mi, Yanjun Zhang, Leo Yu Zhang, Shengshan Hu, Qi Zhong, Haizhuan Yuan, Shirui Pan
2024 J jnl
Towards Threshold Anonymous Announcement With Batch Verification for Cooperative Intelligent Transport Systems.
IEEE Trans. Veh. Technol.
Yanping Wang, Leo Yu Zhang, Xiaosong Zhang, Xiaofen Wang, Fuyi Wang, Shengshan Hu, Robin Doss
2024 A* conf
Transferable Adversarial Facial Images for Privacy Protection.
ACM Multimedia
Minghui Li, Jiangxiong Wang, Hao Zhang, Ziqi Zhou, Shengshan Hu, Xiaobing Pei
2024 J jnl
Transferable Adversarial Facial Images for Privacy Protection.
CoRR
Minghui Li, Jiangxiong Wang, Hao Zhang, Ziqi Zhou, Shengshan Hu, Xiaobing Pei
2024 J jnl
TrojanRobot: Backdoor Attacks Against Robotic Manipulation in the Physical World.
CoRR
Xianlong Wang, Hewen Pan, Hangtao Zhang, Minghui Li, Shengshan Hu, Ziqi Zhou, Lulu Xue, Peijin Guo, Yichen Wang, Wei Wan, Aishan Liu, Leo Yu Zhang
2024 A* conf
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need.
NeurIPS
Xianlong Wang, Minghui Li, Wei Liu, Hangtao Zhang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Hai Jin
2024 J jnl
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need.
CoRR
Xianlong Wang, Minghui Li, Wei Liu, Hangtao Zhang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Hai Jin
2024 J jnl
Variational Bayes for Federated Continual Learning.
CoRR
Dezhong Yao, Sanmu Li, Yutong Dai, Zhiqiang Xu, Shengshan Hu, Peilin Zhao, Lichao Sun
2024 — conf
ViDTA: Enhanced Drug-Target Affinity Prediction via Virtual Graph Nodes and Attention-based Feature Fusion.
BIBM
Minghui Li, Zikang Guo, Yang Wu, Peijin Guo, Yao Shi, Shengshan Hu, Wei Wan, Shengqing Hu
2024 J jnl
ViDTA: Enhanced Drug-Target Affinity Prediction via Virtual Graph Nodes and Attention-based Feature Fusion.
CoRR
Minghui Li, Zikang Guo, Yang Wu, Peijin Guo, Yao Shi, Shengshan Hu, Wei Wan, Shengqing Hu
2024 J jnl
Visual Adversarial Attack on Vision-Language Models for Autonomous Driving.
CoRR
Tianyuan Zhang, Lu Wang, Xinwei Zhang, Yitong Zhang, Boyi Jia, Siyuan Liang, Shengshan Hu, Qiang Fu, Aishan Liu, Xianglong Liu
2024 A* conf
Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability.
SP
Yechao Zhang, Shengshan Hu, Leo Yu Zhang, Junyu Shi, Minghui Li, Xiaogeng Liu, Wei Wan, Hai Jin
2023 A* conf
A Four-Pronged Defense Against Byzantine Attacks in Federated Learning.
ACM Multimedia
Wei Wan, Shengshan Hu, Minghui Li, Jianrong Lu, Longling Zhang, Leo Yu Zhang, Hai Jin
2023 J jnl
A Four-Pronged Defense Against Byzantine Attacks in Federated Learning.
CoRR
Wei Wan, Shengshan Hu, Minghui Li, Jianrong Lu, Longling Zhang, Leo Yu Zhang, Hai Jin
2023 A* conf
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning.
ACM Multimedia
Ziqi Zhou, Shengshan Hu, Minghui Li, Hangtao Zhang, Yechao Zhang, Hai Jin
2023 J jnl
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning.
CoRR
Ziqi Zhou, Shengshan Hu, Minghui Li, Hangtao Zhang, Yechao Zhang, Hai Jin
2023 A* conf
Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples.
ICCV
Qiufan Ji, Lin Wang, Cong Shi, Shengshan Hu, Yingying Chen, Lichao Sun
2023 J jnl
Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples.
CoRR
Qiufan Ji, Lin Wang, Cong Shi, Shengshan Hu, Yingying Chen, Lichao Sun
2023 J jnl
Corrupting Convolution-based Unlearnable Datasets with Pixel-based Image Transformations.
CoRR
Xianlong Wang, Shengshan Hu, Minghui Li, Zhifei Yu, Ziqi Zhou, Leo Yu Zhang, Hai Jin
2023 A* conf
Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning.
IJCAI
Hangtao Zhang, Zeming Yao, Leo Yu Zhang, Shengshan Hu, Chao Chen, Alan Wee-Chung Liew, Zhetao Li
2023 J jnl
Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning.
CoRR
Hangtao Zhang, Zeming Yao, Leo Yu Zhang, Shengshan Hu, Chao Chen, Alan Wee-Chung Liew, Zhetao Li
2023 A* conf
Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency.
CVPR
Xiaogeng Liu, Minghui Li, Haoyu Wang, Shengshan Hu, Dengpan Ye, Hai Jin, Libing Wu, Chaowei Xiao
2023 J jnl
Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency.
CoRR
Xiaogeng Liu, Minghui Li, Haoyu Wang, Shengshan Hu, Dengpan Ye, Hai Jin, Libing Wu, Chaowei Xiao
2023 A* conf
Downstream-agnostic Adversarial Examples.
ICCV
Ziqi Zhou, Shengshan Hu, Ruizhi Zhao, Qian Wang, Leo Yu Zhang, Junhui Hou, Hai Jin
2023 J jnl
Downstream-agnostic Adversarial Examples.
CoRR
Ziqi Zhou, Shengshan Hu, Ruizhi Zhao, Qian Wang, Leo Yu Zhang, Junhui Hou, Hai Jin
2023 J jnl
Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors.
CoRR
Long Tang, Dengpan Ye, Zhenhao Lu, Yunming Zhang, Shengshan Hu, Yue Xu, Chuanxi Chen
2023 J jnl
MISA: Unveiling the Vulnerabilities in Split Federated Learning.
CoRR
Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Minghui Li, Leo Yu Zhang, Hai Jin
2023 A conf
Masked Language Model Based Textual Adversarial Example Detection.
AsiaCCS
Xiaomei Zhang, Zhaoxi Zhang, Qi Zhong, Xufei Zheng, Yanjun Zhang, Shengshan Hu, Leo Yu Zhang
2023 J jnl
Masked Language Model Based Textual Adversarial Example Detection.
CoRR
Xiaomei Zhang, Zhaoxi Zhang, Qi Zhong, Xufei Zheng, Yanjun Zhang, Shengshan Hu, Leo Yu Zhang
2023 A* conf
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples.
AAAI
Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun
2023 A* conf
PointCRT: Detecting Backdoor in 3D Point Cloud via Corruption Robustness.
ACM Multimedia
Shengshan Hu, Wei Liu, Minghui Li, Yechao Zhang, Xiaogeng Liu, Xianlong Wang, Leo Yu Zhang, Junhui Hou
2023 J jnl
Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics.
CoRR
Xiaoxing Mo, Yechao Zhang, Leo Yu Zhang, Wei Luo, Nan Sun, Shengshan Hu, Shang Gao, Yang Xiang
2023 A* conf
Voice Guard: Protecting Voice Privacy with Strong and Imperceptible Adversarial Perturbation in the Time Domain.
IJCAI
Jingyang Li, Dengpan Ye, Long Tang, Chuanxi Chen, Shengshan Hu
2023 J jnl
Why Does Little Robustness Help? Understanding Adversarial Transferability From Surrogate Training.
CoRR
Yechao Zhang, Shengshan Hu, Leo Yu Zhang, Junyu Shi, Minghui Li, Xiaogeng Liu, Wei Wan, Hai Jin
2022 A conf
Attention Distraction: Watermark Removal Through Continual Learning with Selective Forgetting.
ICME
Qi Zhong, Leo Yu Zhang, Shengshan Hu, Longxiang Gao, Jun Zhang, Yong Xiang
2022 J jnl
Attention Distraction: Watermark Removal Through Continual Learning with Selective Forgetting.
CoRR
Qi Zhong, Leo Yu Zhang, Shengshan Hu, Longxiang Gao, Jun Zhang, Yong Xiang
2022 A* conf
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label.
ACM Multimedia
Shengshan Hu, Ziqi Zhou, Yechao Zhang, Leo Yu Zhang, Yifeng Zheng, Yuanyuan He, Hai Jin
2022 J jnl
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label.
CoRR
Shengshan Hu, Ziqi Zhou, Yechao Zhang, Leo Yu Zhang, Yifeng Zheng, Yuanyuan He, Hai Jin
2022 B conf
Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning.
TrustCom
Junyu Shi, Wei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang
2022 J jnl
Evaluating Membership Inference Through Adversarial Robustness.
Comput. J.
Zhaoxi Zhang, Leo Yu Zhang, Xufei Zheng, Bilal Hussain Abbasi, Shengshan Hu
2022 J jnl
Evaluating Membership Inference Through Adversarial Robustness.
CoRR
Zhaoxi Zhang, Leo Yu Zhang, Xufei Zheng, Bilal Hussain Abbasi, Shengshan Hu
2022 J jnl
Optimizing Privacy-Preserving Outsourced Convolutional Neural Network Predictions.
IEEE Trans. Dependable Secur. Comput.
Minghui Li, Sherman S. M. Chow, Shengshan Hu, Yuejing Yan, Chao Shen, Qian Wang
2022 J jnl
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples.
CoRR
Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun
2022 A* conf
Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer.
CVPR
Shengshan Hu, Xiaogeng Liu, Yechao Zhang, Minghui Li, Leo Yu Zhang, Hai Jin, Libing Wu
2022 J jnl
Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer.
CoRR
Shengshan Hu, Xiaogeng Liu, Yechao Zhang, Minghui Li, Leo Yu Zhang, Hai Jin, Libing Wu
2022 — conf
Shielding Federated Learning: Mitigating Byzantine Attacks with Less Constraints.
MSN
Minghui Li, Wei Wan, Jianrong Lu, Shengshan Hu, Junyu Shi, Leo Yu Zhang, Man Zhou, Yifeng Zheng
2022 J jnl
Shielding Federated Learning: Mitigating Byzantine Attacks with Less Constraints.
CoRR
Minghui Li, Wei Wan, Jianrong Lu, Shengshan Hu, Junyu Shi, Leo Yu Zhang, Man Zhou, Yifeng Zheng
2022 A* conf
Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection.
IJCAI
Wei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang, Hai Jin, Yuanyuan He
2022 J jnl
Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection.
CoRR
Wei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang, Hai Jin, Yuanyuan He
2022 J jnl
Towards Efficient Data-Centric Robust Machine Learning with Noise-based Augmentation.
CoRR
Xiaogeng Liu, Haoyu Wang, Yechao Zhang, Fangzhou Wu, Shengshan Hu
2022 C conf
Towards Privacy-Preserving Neural Architecture Search.
ISCC
Fuyi Wang, Leo Yu Zhang, Lei Pan, Shengshan Hu, Robin Doss
2022 J jnl
Towards Privacy-Preserving Neural Architecture Search.
CoRR
Fuyi Wang, Leo Yu Zhang, Lei Pan, Shengshan Hu, Robin Doss
2021 A* conf
AdvHash: Set-to-set Targeted Attack on Deep Hashing with One Single Adversarial Patch.
ACM Multimedia
Shengshan Hu, Yechao Zhang, Xiaogeng Liu, Leo Yu Zhang, Minghui Li, Hai Jin
2021 J jnl
Augmenting Encrypted Search: A Decentralized Service Realization with Enforced Execution.
IEEE Trans. Dependable Secur. Comput.
Shengshan Hu, Chengjun Cai, Qian Wang, Cong Wang, Zhibo Wang, Dengpan Ye
2021 J jnl
BOSSA: A Decentralized System for Proofs of Data Retrievability and Replication.
IEEE Trans. Parallel Distributed Syst.
Dian Chen, Haobo Yuan, Shengshan Hu, Qian Wang, Cong Wang
2021 J jnl
Challenges and approaches for mitigating byzantine attacks in federated learning.
CoRR
Shengshan Hu, Jianrong Lu, Wei Wan, Leo Yu Zhang
2021 A* conf
Feature-Indistinguishable Attack to Circumvent Trapdoor-Enabled Defense.
CCS
Chaoxiang He, Bin Benjamin Zhu, Xiaojing Ma, Hai Jin, Shengshan Hu
2021 J jnl
Self-Supervised Adversarial Example Detection by Disentangled Representation.
CoRR
Zhaoxi Zhang, Leo Yu Zhang, Xufei Zheng, Shengshan Hu, Jinyu Tian, Jiantao Zhou
2021 J jnl
Shielding Collaborative Learning: Mitigating Poisoning Attacks Through Client-Side Detection.
IEEE Trans. Dependable Secur. Comput.
Lingchen Zhao, Shengshan Hu, Qian Wang, Jianlin Jiang, Chao Shen, Xiangyang Luo, Pengfei Hu
2021 B conf
Shielding Federated Learning: A New Attack Approach and Its Defense.
WCNC
Wei Wan, Jianrong Lu, Shengshan Hu, Leo Yu Zhang, Xiaobing Pei
2021 J jnl
Towards Private and Scalable Cross-Media Retrieval.
IEEE Trans. Dependable Secur. Comput.
Shengshan Hu, Leo Yu Zhang, Qian Wang, Zhan Qin, Cong Wang
2020 J jnl
Optimizing Privacy-Preserving Outsourced Convolutional Neural Network Predictions.
CoRR
Minghui Li, Sherman S. M. Chow, Shengshan Hu, Yuejing Yan, Minxin Du, Zhibo Wang
2019 J jnl
Adversarial Examples for Automatic Speech Recognition: Attacks and Countermeasures.
IEEE Commun. Mag.
Shengshan Hu, Xingcan Shang, Zhan Qin, Minghui Li, Qian Wang, Cong Wang
2019 J jnl
Augmenting Encrypted Search: A Decentralized Service Realization with Enforced Execution.
CoRR
Shengshan Hu, Chengjun Cai, Qian Wang, Cong Wang, Minghui Li, Zhibo Wang, Dengpan Ye
2019 J jnl
Hidden Voice Commands: Attacks and Defenses on the VCS of Autonomous Driving Cars.
IEEE Wirel. Commun.
Man Zhou, Zhan Qin, Xiu Lin, Shengshan Hu, Qian Wang, Kui Ren
2019 J jnl
Shielding Collaborative Learning: Mitigating Poisoning Attacks through Client-Side Detection.
CoRR
Lingchen Zhao, Shengshan Hu, Qian Wang, Jianlin Jiang, Chao Shen, Xiangyang Luo
2019 J jnl
VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service.
CoRR
Lingchen Zhao, Qian Wang, Cong Wang, Qi Li, Chao Shen, Xiaodong Lin, Shengshan Hu, Minxin Du
2018 A* conf
InPrivate Digging: Enabling Tree-based Distributed Data Mining with Differential Privacy.
INFOCOM
Lingchen Zhao, Lihao Ni, Shengshan Hu, Yanjiao Chen, Pan Zhou, Fu Xiao, Libing Wu
2018 J jnl
Outsourced Biometric Identification With Privacy.
IEEE Trans. Inf. Forensics Secur.
Shengshan Hu, Minghui Li, Qian Wang, Sherman S. M. Chow, Minxin Du
2018 A* conf
Searching an Encrypted Cloud Meets Blockchain: A Decentralized, Reliable and Fair Realization.
INFOCOM
Shengshan Hu, Chengjun Cai, Qian Wang, Cong Wang, Xiangyang Luo, Kui Ren
2017 A* conf
Learning privately: Privacy-preserving canonical correlation analysis for cross-media retrieval.
INFOCOM
Qian Wang, Shengshan Hu, Minxin Du, Jingjun Wang, Kui Ren
2017 J jnl
Privacy-Preserving Outsourced Feature Extractions in the Cloud: A Survey.
IEEE Netw.
Jingjun Wang, Shengshan Hu, Qian Wang, Yutao Ma
2016 A* conf
Catch me in the dark: Effective privacy-preserving outsourcing of feature extractions over image data.
INFOCOM
Qian Wang, Shengshan Hu, Kui Ren, Jingjun Wang, Zhibo Wang, Minxin Du
2016 J jnl
Jamming-Resistant Multiradio Multichannel Opportunistic Spectrum Access in Cognitive Radio Networks.
IEEE Trans. Veh. Technol.
Qian Wang, Kui Ren, Peng Ning, Shengshan Hu
2016 A conf
SecHOG: Privacy-Preserving Outsourcing Computation of Histogram of Oriented Gradients in the Cloud.
AsiaCCS
Qian Wang, Jingjun Wang, Shengshan Hu, Qin Zou, Kui Ren
2016 A conf
Secure Surfing: Privacy-Preserving Speeded-Up Robust Feature Extractor.
ICDCS
Qian Wang, Shengshan Hu, Jingjun Wang, Kui Ren
2016 — conf
Securing Fast Learning! Ridge Regression over Encrypted Big Data.
Trustcom/BigDataSE/ISPA
Shengshan Hu, Qian Wang, Jingjun Wang, Sherman S. M. Chow, Qin Zou
2016 J jnl
Securing SIFT: Privacy-Preserving Outsourcing Computation of Feature Extractions Over Encrypted Image Data.
IEEE Trans. Image Process.
Shengshan Hu, Qian Wang, Jingjun Wang, Zhan Qin, Kui Ren
2015 — conf
CloudBI: Practical Privacy-Preserving Outsourcing of Biometric Identification in the Cloud.
ESORICS (2)
Qian Wang, Shengshan Hu, Kui Ren, Meiqi He, Minxin Du, Zhibo Wang