Shengshan Hu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 81

Top Topics

Countermeasures

Differential Privacy

Top Venues

IEEE Trans. Dependable Secur. Comput.

Publications

Jianrong Lu, Shengshan Hu, Wei Wan, Minghui Li, Leo Yu Zhang, Lulu Xue, Hai Jin
Depriving the Survival Space of Adversaries Against Poisoned Gradients in Federated Learning. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Ziqi Zhou, Minghui Li, Wei Liu, Shengshan Hu, Yechao Zhang, Wei Wan, Lulu Xue, Leo Yu Zhang, Dezhong Yao, Hai Jin
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples. CoRR (2024)
Lulu Xue, Shengshan Hu, Ruizhi Zhao, Leo Yu Zhang, Shengqing Hu, Lichao Sun, Dezhong Yao
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks. CoRR (2024)
Man Zhou, Yuting Zhou, Shuao Su, Qian Wang, Qi Li, Shengshan Hu, Chunwu Yu, Zhengxiong Li
FingerPattern: Securing Pattern Lock via Fingerprint-Dependent Friction Sound. IEEE Trans. Mob. Comput. 23 (6) (2024)
Di Mi, Yanjun Zhang, Leo Yu Zhang, Shengshan Hu, Qi Zhong, Haizhuan Yuan, Shirui Pan
Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation. CoRR (2024)
Longling Zhang, Lyqi Liu, Dan Meng, Jun Wang, Shengshan Hu
Stealthy Backdoor Attack Towards Federated Automatic Speaker Verification. ICASSP (2024)
Hangtao Zhang, Chenyu Zhu, Xianlong Wang, Ziqi Zhou, Shengshan Hu, Leo Yu Zhang
BadRobot: Jailbreaking LLM-based Embodied AI in the Physical World. CoRR (2024)
Dezhong Yao, Sanmu Li, Yutong Dai, Zhiqiang Xu, Shengshan Hu, Peilin Zhao, Lichao Sun
Variational Bayes for Federated Continual Learning. CoRR (2024)
Minghui Li, Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Leo Yu Zhang, Yichen Wang
DarkFed: A Data-Free Backdoor Attack in Federated Learning. CoRR (2024)
Zhaoxi Zhang, Xiaomei Zhang, Yanjun Zhang, Leo Yu Zhang, Chao Chen, Shengshan Hu, Asif Gill, Shirui Pan
Large Language Model Watermark Stealing With Mixed Integer Programming. CoRR (2024)
Hangtao Zhang, Shengshan Hu, Yichen Wang, Leo Yu Zhang, Ziqi Zhou, Xianlong Wang, Yanjun Zhang, Chao Chen
Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness. CoRR (2024)
Xianlong Wang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Leo Yu Zhang, Peng Xu, Wei Wan, Hai Jin
ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification. CoRR (2024)
Lulu Xue, Shengshan Hu, Ruizhi Zhao, Leo Yu Zhang, Shengqing Hu, Lichao Sun, Dezhong Yao
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks. AAAI (2024)
Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Minghui Li, Leo Yu Zhang, Hai Jin
MISA: Unveiling the Vulnerabilities in Split Federated Learning. ICASSP (2024)
Di Mi, Yanjun Zhang, Leo Yu Zhang, Shengshan Hu, Qi Zhong, Haizhuan Yuan, Shirui Pan
Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation. AAAI (2024)
Ziqi Zhou, Shengshan Hu, Minghui Li, Hangtao Zhang, Yechao Zhang, Hai Jin
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning. ACM Multimedia (2023)
Qiufan Ji, Lin Wang, Cong Shi, Shengshan Hu, Yingying Chen, Lichao Sun
Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples. ICCV (2023)
Wei Wan, Shengshan Hu, Minghui Li, Jianrong Lu, Longling Zhang, Leo Yu Zhang, Hai Jin
A Four-Pronged Defense Against Byzantine Attacks in Federated Learning. CoRR (2023)
Hangtao Zhang, Zeming Yao, Leo Yu Zhang, Shengshan Hu, Chao Chen, Alan Liew, Zhetao Li
Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning. CoRR (2023)
Xiaomei Zhang, Zhaoxi Zhang, Qi Zhong, Xufei Zheng, Yanjun Zhang, Shengshan Hu, Leo Yu Zhang
Masked Language Model Based Textual Adversarial Example Detection. AsiaCCS (2023)
Ziqi Zhou, Shengshan Hu, Minghui Li, Hangtao Zhang, Yechao Zhang, Hai Jin
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning. CoRR (2023)
Hangtao Zhang, Zeming Yao, Leo Yu Zhang, Shengshan Hu, Chao Chen, Alan Liew, Zhetao Li
Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning. IJCAI (2023)
Wei Wan, Shengshan Hu, Minghui Li, Jianrong Lu, Longling Zhang, Leo Yu Zhang, Hai Jin
A Four-Pronged Defense Against Byzantine Attacks in Federated Learning. ACM Multimedia (2023)
Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples. AAAI (2023)
Xiaogeng Liu, Minghui Li, Haoyu Wang, Shengshan Hu, Dengpan Ye, Hai Jin, Libing Wu, Chaowei Xiao
Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency. CVPR (2023)
Xiaomei Zhang, Zhaoxi Zhang, Qi Zhong, Xufei Zheng, Yanjun Zhang, Shengshan Hu, Leo Yu Zhang
Masked Language Model Based Textual Adversarial Example Detection. CoRR (2023)
Ziqi Zhou, Shengshan Hu, Ruizhi Zhao, Qian Wang, Leo Yu Zhang, Junhui Hou, Hai Jin
Downstream-agnostic Adversarial Examples. ICCV (2023)
Qiufan Ji, Lin Wang, Cong Shi, Shengshan Hu, Yingying Chen, Lichao Sun
Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples. CoRR (2023)
Xiaoxing Mo, Yechao Zhang, Leo Yu Zhang, Wei Luo, Nan Sun, Shengshan Hu, Shang Gao, Yang Xiang
Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics. CoRR (2023)
Xianlong Wang, Shengshan Hu, Minghui Li, Zhifei Yu, Ziqi Zhou, Leo Yu Zhang, Hai Jin
Corrupting Convolution-based Unlearnable Datasets with Pixel-based Image Transformations. CoRR (2023)
Xiaogeng Liu, Minghui Li, Haoyu Wang, Shengshan Hu, Dengpan Ye, Hai Jin, Libing Wu, Chaowei Xiao
Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency. CoRR (2023)
Jingyang Li, Dengpan Ye, Long Tang, Chuanxi Chen, Shengshan Hu
Voice Guard: Protecting Voice Privacy with Strong and Imperceptible Adversarial Perturbation in the Time Domain. IJCAI (2023)
Shengshan Hu, Wei Liu, Minghui Li, Yechao Zhang, Xiaogeng Liu, Xianlong Wang, Leo Yu Zhang, Junhui Hou
PointCRT: Detecting Backdoor in 3D Point Cloud via Corruption Robustness. ACM Multimedia (2023)
Ziqi Zhou, Shengshan Hu, Ruizhi Zhao, Qian Wang, Leo Yu Zhang, Junhui Hou, Hai Jin
Downstream-agnostic Adversarial Examples. CoRR (2023)
Long Tang, Dengpan Ye, Zhenhao Lu, Yunming Zhang, Shengshan Hu, Yue Xu, Chuanxi Chen
Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors. CoRR (2023)
Yechao Zhang, Shengshan Hu, Leo Yu Zhang, Junyu Shi, Minghui Li, Xiaogeng Liu, Wei Wan, Hai Jin
Why Does Little Robustness Help? Understanding Adversarial Transferability From Surrogate Training. CoRR (2023)
Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Minghui Li, Leo Yu Zhang, Hai Jin
MISA: Unveiling the Vulnerabilities in Split Federated Learning. CoRR (2023)
Wei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang, Hai Jin, Yuanyuan He
Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection. CoRR (2022)
Qi Zhong, Leo Yu Zhang, Shengshan Hu, Longxiang Gao, Jun Zhang, Yong Xiang
Attention Distraction: Watermark Removal Through Continual Learning with Selective Forgetting. ICME (2022)
Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples. CoRR (2022)
Zhaoxi Zhang, Leo Yu Zhang, Xufei Zheng, Bilal Hussain Abbasi, Shengshan Hu
Evaluating Membership Inference Through Adversarial Robustness. Comput. J. 65 (11) (2022)
Shengshan Hu, Xiaogeng Liu, Yechao Zhang, Minghui Li, Leo Yu Zhang, Hai Jin, Libing Wu
Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer. CVPR (2022)
Minghui Li, Wei Wan, Jianrong Lu, Shengshan Hu, Junyu Shi, Leo Yu Zhang, Man Zhou, Yifeng Zheng
Shielding Federated Learning: Mitigating Byzantine Attacks with Less Constraints. CoRR (2022)
Qi Zhong, Leo Yu Zhang, Shengshan Hu, Longxiang Gao, Jun Zhang, Yong Xiang
Attention Distraction: Watermark Removal Through Continual Learning with Selective Forgetting. CoRR (2022)
Zhaoxi Zhang, Leo Yu Zhang, Xufei Zheng, Bilal Hussain Abbasi, Shengshan Hu
Evaluating Membership Inference Through Adversarial Robustness. CoRR (2022)
Fuyi Wang, Leo Yu Zhang, Lei Pan, Shengshan Hu, Robin Doss
Towards Privacy-Preserving Neural Architecture Search. ISCC (2022)
Shengshan Hu, Xiaogeng Liu, Yechao Zhang, Minghui Li, Leo Yu Zhang, Hai Jin, Libing Wu
Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer. CoRR (2022)
Junyu Shi, Wei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang
Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning. TrustCom (2022)
Shengshan Hu, Ziqi Zhou, Yechao Zhang, Leo Yu Zhang, Yifeng Zheng, Yuanyuan He, Hai Jin
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label. CoRR (2022)
Xiaogeng Liu, Haoyu Wang, Yechao Zhang, Fangzhou Wu, Shengshan Hu
Towards Efficient Data-Centric Robust Machine Learning with Noise-based Augmentation. CoRR (2022)
Minghui Li, Wei Wan, Jianrong Lu, Shengshan Hu, Junyu Shi, Leo Yu Zhang, Man Zhou, Yifeng Zheng
Shielding Federated Learning: Mitigating Byzantine Attacks with Less Constraints. MSN (2022)
Shengshan Hu, Ziqi Zhou, Yechao Zhang, Leo Yu Zhang, Yifeng Zheng, Yuanyuan He, Hai Jin
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label. ACM Multimedia (2022)
Wei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang, Hai Jin, Yuanyuan He
Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection. IJCAI (2022)
Fuyi Wang, Leo Yu Zhang, Lei Pan, Shengshan Hu, Robin Doss
Towards Privacy-Preserving Neural Architecture Search. CoRR (2022)
Minghui Li, Sherman S. M. Chow, Shengshan Hu, Yuejing Yan, Chao Shen, Qian Wang
Optimizing Privacy-Preserving Outsourced Convolutional Neural Network Predictions. IEEE Trans. Dependable Secur. Comput. 19 (3) (2022)
Dian Chen, Haobo Yuan, Shengshan Hu, Qian Wang, Cong Wang
BOSSA: A Decentralized System for Proofs of Data Retrievability and Replication. IEEE Trans. Parallel Distributed Syst. 32 (4) (2021)
Zhaoxi Zhang, Leo Yu Zhang, Xufei Zheng, Shengshan Hu, Jinyu Tian, Jiantao Zhou
Self-Supervised Adversarial Example Detection by Disentangled Representation. CoRR (2021)
Lingchen Zhao, Shengshan Hu, Qian Wang, Jianlin Jiang, Chao Shen, Xiangyang Luo, Pengfei Hu
Shielding Collaborative Learning: Mitigating Poisoning Attacks Through Client-Side Detection. IEEE Trans. Dependable Secur. Comput. 18 (5) (2021)
Wei Wan, Jianrong Lu, Shengshan Hu, Leo Yu Zhang, Xiaobing Pei
Shielding Federated Learning: A New Attack Approach and Its Defense. WCNC (2021)
Shengshan Hu, Yechao Zhang, Xiaogeng Liu, Leo Yu Zhang, Minghui Li, Hai Jin
AdvHash: Set-to-set Targeted Attack on Deep Hashing with One Single Adversarial Patch. ACM Multimedia (2021)
Shengshan Hu, Chengjun Cai, Qian Wang, Cong Wang, Zhibo Wang, Dengpan Ye
Augmenting Encrypted Search: A Decentralized Service Realization with Enforced Execution. IEEE Trans. Dependable Secur. Comput. 18 (6) (2021)
Shengshan Hu, Leo Yu Zhang, Qian Wang, Zhan Qin, Cong Wang
Towards Private and Scalable Cross-Media Retrieval. IEEE Trans. Dependable Secur. Comput. 18 (3) (2021)
Shengshan Hu, Jianrong Lu, Wei Wan, Leo Yu Zhang
Challenges and approaches for mitigating byzantine attacks in federated learning. CoRR (2021)
Chaoxiang He, Bin Benjamin Zhu, Xiaojing Ma, Hai Jin, Shengshan Hu
Feature-Indistinguishable Attack to Circumvent Trapdoor-Enabled Defense. CCS (2021)
Minghui Li, Sherman S. M. Chow, Shengshan Hu, Yuejing Yan, Minxin Du, Zhibo Wang
Optimizing Privacy-Preserving Outsourced Convolutional Neural Network Predictions. CoRR (2020)
Shengshan Hu, Chengjun Cai, Qian Wang, Cong Wang, Minghui Li, Zhibo Wang, Dengpan Ye
Augmenting Encrypted Search: A Decentralized Service Realization with Enforced Execution. CoRR (2019)
Lingchen Zhao, Qian Wang, Cong Wang, Qi Li, Chao Shen, Xiaodong Lin, Shengshan Hu, Minxin Du
VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service. CoRR (2019)
Shengshan Hu, Xingcan Shang, Zhan Qin, Minghui Li, Qian Wang, Cong Wang
Adversarial Examples for Automatic Speech Recognition: Attacks and Countermeasures. IEEE Commun. Mag. 57 (10) (2019)
Man Zhou, Zhan Qin, Xiu Lin, Shengshan Hu, Qian Wang, Kui Ren
Hidden Voice Commands: Attacks and Defenses on the VCS of Autonomous Driving Cars. IEEE Wirel. Commun. 26 (5) (2019)
Lingchen Zhao, Shengshan Hu, Qian Wang, Jianlin Jiang, Chao Shen, Xiangyang Luo
Shielding Collaborative Learning: Mitigating Poisoning Attacks through Client-Side Detection. CoRR (2019)
Shengshan Hu, Minghui Li, Qian Wang, Sherman S. M. Chow, Minxin Du
Outsourced Biometric Identification With Privacy. IEEE Trans. Inf. Forensics Secur. 13 (10) (2018)
Shengshan Hu, Chengjun Cai, Qian Wang, Cong Wang, Xiangyang Luo, Kui Ren
Searching an Encrypted Cloud Meets Blockchain: A Decentralized, Reliable and Fair Realization. INFOCOM (2018)
Lingchen Zhao, Lihao Ni, Shengshan Hu, Yanjiao Chen, Pan Zhou, Fu Xiao, Libing Wu
InPrivate Digging: Enabling Tree-based Distributed Data Mining with Differential Privacy. INFOCOM (2018)
Qian Wang, Shengshan Hu, Minxin Du, Jingjun Wang, Kui Ren
Learning privately: Privacy-preserving canonical correlation analysis for cross-media retrieval. INFOCOM (2017)
Jingjun Wang, Shengshan Hu, Qian Wang, Yutao Ma
Privacy-Preserving Outsourced Feature Extractions in the Cloud: A Survey. IEEE Netw. 31 (5) (2017)
Shengshan Hu, Qian Wang, Jingjun Wang, Sherman S. M. Chow, Qin Zou
Securing Fast Learning! Ridge Regression over Encrypted Big Data. Trustcom/BigDataSE/ISPA (2016)
Qian Wang, Jingjun Wang, Shengshan Hu, Qin Zou, Kui Ren
SecHOG: Privacy-Preserving Outsourcing Computation of Histogram of Oriented Gradients in the Cloud. AsiaCCS (2016)
Shengshan Hu, Qian Wang, Jingjun Wang, Zhan Qin, Kui Ren
Securing SIFT: Privacy-Preserving Outsourcing Computation of Feature Extractions Over Encrypted Image Data. IEEE Trans. Image Process. 25 (7) (2016)
Qian Wang, Shengshan Hu, Kui Ren, Jingjun Wang, Zhibo Wang, Minxin Du
Catch me in the dark: Effective privacy-preserving outsourcing of feature extractions over image data. INFOCOM (2016)
Qian Wang, Shengshan Hu, Jingjun Wang, Kui Ren
Secure Surfing: Privacy-Preserving Speeded-Up Robust Feature Extractor. ICDCS (2016)
Qian Wang, Kui Ren, Peng Ning, Shengshan Hu
Jamming-Resistant Multiradio Multichannel Opportunistic Spectrum Access in Cognitive Radio Networks. IEEE Trans. Veh. Technol. 65 (10) (2016)
Qian Wang, Shengshan Hu, Kui Ren, Meiqi He, Minxin Du, Zhibo Wang
CloudBI: Practical Privacy-Preserving Outsourcing of Biometric Identification in the Cloud. ESORICS (2) (2015)