Hu, Shengshan

24 publications

NeurIPS 2025 AdvEDM: Fine-Grained Adversarial Attack Against VLM-Based Embodied Agents Yichen Wang, Hangtao Zhang, Hewen Pan, Ziqi Zhou, Xianlong Wang, Peijin Guo, Lulu Xue, Shengshan Hu, Minghui Li, Leo Yu Zhang

ICLR 2025 BadRobot: Jailbreaking Embodied LLM Agents in the Physical World 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

AAAI 2025 Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Yichen Wang, Yuxuan Chou, Ziqi Zhou, Hangtao Zhang, Wei Wan, Shengshan Hu, Minghui Li

AAAI 2025 Detecting and Corrupting Convolution-Based Unlearnable Examples Minghui Li, Xianlong Wang, Zhifei Yu, Shengshan Hu, Ziqi Zhou, Longling Zhang, Leo Yu Zhang

AAAI 2025 Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization Yechao Zhang, Yingzhe Xu, Junyu Shi, Leo Yu Zhang, Shengshan Hu, Minghui Li, Yanjun Zhang

NeurIPS 2025 MARS: A Malignity-Aware Backdoor Defense in Federated Learning Wei Wan, Ning Yuxuan, Zhicong Huang, Cheng Hong, Shengshan Hu, Ziqi Zhou, Yechao Zhang, Tianqing Zhu, Wanlei Zhou, Leo Yu Zhang

AAAI 2025 NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors Ziqi Zhou, Bowen Li, Yufei Song, Zhifei Yu, Shengshan Hu, Wei Wan, Leo Yu Zhang, Dezhong Yao, Hai Jin

CVPR 2025 Test-Time Backdoor Detection for Object Detection Models Hangtao Zhang, Yichen Wang, Shihui Yan, Chenyu Zhu, Ziqi Zhou, Linshan Hou, Shengshan Hu, Minghui Li, Yanjun Zhang, Leo Yu Zhang

ECML-PKDD 2025 Uncertainty-Aware Metabolic Stability Prediction with Dual-View Contrastive Learning Peijin Guo, Minghui Li, Hewen Pan, Bowen Chen, Yang Wu, Zikang Guo, Leo Yu Zhang, Shengshan Hu, Shengqing Hu

NeurIPS 2025 Vanish into Thin Air: Cross-Prompt Universal Adversarial Attacks for SAM2 Ziqi Zhou, Yifan Hu, Yufei Song, Zijing Li, Shengshan Hu, Leo Yu Zhang, Dezhong Yao, Long Zheng, Hai Jin

IJCAI 2024 DarkFed: A Data-Free Backdoor Attack in Federated Learning Minghui Li, Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Leo Yu Zhang, Yichen Wang

NeurIPS 2024 DarkSAM: Fooling Segment Anything Model to Segment Nothing Ziqi Zhou, Yufei Song, Minghui Li, Shengshan Hu, Xianlong Wang, Leo Yu Zhang, Dezhong Yao, Hai Jin

IJCAI 2024 Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness in the Physical World Hangtao Zhang, Shengshan Hu, Yichen Wang, Leo Yu Zhang, Ziqi Zhou, Xianlong Wang, Yanjun Zhang, Chao Chen

AAAI 2024 Revisiting Gradient Pruning: A Dual Realization for Defending Against Gradient Attacks Lulu Xue, Shengshan Hu, Ruizhi Zhao, Leo Yu Zhang, Shengqing Hu, Lichao Sun, Dezhong Yao

AAAI 2024 Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation Di Mi, Yanjun Zhang, Leo Yu Zhang, Shengshan Hu, Qi Zhong, Haizhuan Yuan, Shirui Pan

NeurIPS 2024 Unlearnable 3D Point Clouds: Class-Wise Transformation Is All You Need Xianlong Wang, Minghui Li, Wei Liu, Hangtao Zhang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Hai Jin

ICCV 2023 Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples Qiufan Ji, Lin Wang, Cong Shi, Shengshan Hu, Yingying Chen, Lichao Sun

IJCAI 2023 Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning Hangtao Zhang, Zeming Yao, Leo Yu Zhang, Shengshan Hu, Chao Chen, Alan Wee-Chung Liew, Zhetao Li

CVPR 2023 Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency Xiaogeng Liu, Minghui Li, Haoyu Wang, Shengshan Hu, Dengpan Ye, Hai Jin, Libing Wu, Chaowei Xiao

ICCV 2023 Downstream-Agnostic Adversarial Examples Ziqi Zhou, Shengshan Hu, Ruizhi Zhao, Qian Wang, Leo Yu Zhang, Junhui Hou, Hai Jin

AAAI 2023 PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun

IJCAI 2023 Voice Guard: Protecting Voice Privacy with Strong and Imperceptible Adversarial Perturbation in the Time Domain Jingyang Li, Dengpan Ye, Long Tang, Chuanxi Chen, Shengshan Hu

CVPR 2022 Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-Robust Makeup Transfer Shengshan Hu, Xiaogeng Liu, Yechao Zhang, Minghui Li, Leo Yu Zhang, Hai Jin, Libing Wu

IJCAI 2022 Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection Wei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang, Hai Jin, Yuanyuan He