Adversarial Examples Are Closely Relevant to Neural Network Models - A Preliminary Experiment Explore. - Zheng Zhou 007; Ju Liu; Yanyang Han (ICSI (2), 2022)

MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World. - Zheng Zhou 007; Hongbo Zhao 001; Ju Liu; Qiaosheng Zhang; Liwei Geng; Shuchang Lyu; Wenquan Feng (CoRR, 2023)

BACON: Bayesian Optimal Condensation Framework for Dataset Distillation. - Zheng Zhou 007; Hongbo Zhao 001; Guangliang Cheng; Xiangtai Li; Shuchang Lyu; Wenquan Feng; Qi Zhao 001 (CoRR, 2024)

Joint-Optimized Unsupervised Adversarial Domain Adaptation in Remote Sensing Segmentation with Prompted Foundation Model. - Shuchang Lyu; Qi Zhao 001; Guangliang Cheng; Yiwei He; Zheng Zhou 007; Guangbiao Wang; Zhenwei Shi (CoRR, 2024)

BEARD: Benchmarking the Adversarial Robustness for Dataset Distillation. - Zheng Zhou 007; Wenquan Feng; Shuchang Lyu; Guangliang Cheng; Xiaowei Huang 001; Qi Zhao 001 (CoRR, 2024)