Guo, Shangwei

11 publications

ICML 2025 BSemiFL: Semi-Supervised Federated Learning via a Bayesian Approach Haozhao Wang, Shengyu Wang, Jiaming Li, Hao Ren, Xingshuo Han, Wenchao Xu, Shangwei Guo, Tianwei Zhang, Ruixuan Li

ICML 2025 TRUST-VLM: Thorough Red-Teaming for Uncovering Safety Threats in Vision-Language Models Kangjie Chen, Li Muyang, Guanlin Li, Shudong Zhang, Shangwei Guo, Tianwei Zhang

NeurIPS 2025 Transstratal Adversarial Attack: Compromising Multi-Layered Defenses in Text-to-Image Models Chunlong Xie, Kangjie Chen, Shangwei Guo, Shudong Zhang, Tianwei Zhang, Tao Xiang

NeurIPS 2024 Beware of Road Markings: A New Adversarial Patch Attack to Monocular Depth Estimation Hangcheng Liu, Zhenhu Wu, Hao Wang, Xingshuo Han, Shangwei Guo, Tao Xiang, Tianwei Zhang

ICLR 2024 You Only Query Once: An Efficient Label-Only Membership Inference Attack Yutong Wu, Han Qiu, Shangwei Guo, Jiwei Li, Tianwei Zhang

ICLR 2023 Extracting Robust Models with Uncertain Examples Guanlin Li, Guowen Xu, Shangwei Guo, Han Qiu, Jiwei Li, Tianwei Zhang

ICCV 2023 What Can Discriminator Do? Towards Box-Free Ownership Verification of Generative Adversarial Networks Ziheng Huang, Boheng Li, Yan Cai, Run Wang, Shangwei Guo, Liming Fang, Jing Chen, Lina Wang

ICLR 2022 BadPre: Task-Agnostic Backdoor Attacks to Pre-Trained NLP Foundation Models Kangjie Chen, Yuxian Meng, Xiaofei Sun, Shangwei Guo, Tianwei Zhang, Jiwei Li, Chun Fan

ICLR 2022 NASPY: Automated Extraction of Automated Machine Learning Models Xiaoxuan Lou, Shangwei Guo, Jiwei Li, Yaoxin Wu, Tianwei Zhang

IJCAI 2021 Fine-Tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models Shangwei Guo, Tianwei Zhang, Han Qiu, Yi Zeng, Tao Xiang, Yang Liu

CVPR 2021 Privacy-Preserving Collaborative Learning with Automatic Transformation Search Wei Gao, Shangwei Guo, Tianwei Zhang, Han Qiu, Yonggang Wen, Yang Liu