Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization. - Zixin Yin; Jiakai Wang; Yifu Ding; Yisong Xiao; Jun Guo 009; Renshuai Tao; Haotong Qin (AdvM @ ACM Multimedia, 2021)

A Comprehensive Evaluation Framework for Deep Model Robustness. - Aishan Liu; Xianglong Liu 001; Jun Guo 009; Jiakai Wang; Yuqing Ma; Ze Zhao; Xinghai Gao; Gang Xiao (CoRR, 2021)

Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement Learning. - Jun Guo 009; Yonghong Chen; Yihang Hao; Zixin Yin; Yin Yu; Simin Li (CVPR Workshops, 2022)

Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks. - Jun Guo 009; Xingyu Zheng; Aishan Liu; Siyuan Liang; Yisong Xiao; Yichao Wu; Xianglong Liu 001 (ACM Multimedia, 2023)

X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection. - Aishan Liu; Jun Guo 009; Jiakai Wang; Siyuan Liang; Renshuai Tao; Wenbo Zhou; Cong Liu 006; Xianglong Liu 001; Dacheng Tao (USENIX Security Symposium, 2023)

Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence. - Simin Li; Jun Guo 009; Jingqiao Xiu; Pu Feng; Xin Yu 009; Jiakai Wang; Aishan Liu; Wenjun Wu 001; Xianglong Liu 001 (CoRR, 2023)

Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game. - Simin Li; Jun Guo 009; Jingqiao Xiu; Xini Yu; Jiakai Wang; Aishan Liu; Yaodong Yang 001; Xianglong Liu 001 (CoRR, 2023)

MIR2: Towards Provably Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization. - Simin Li; Ruixiao Xu; Jun Guo 009; Pu Feng; Jiakai Wang; Aishan Liu; Yaodong Yang 001; Xianglong Liu 001; Weifeng Lv (CoRR, 2023)

A comprehensive evaluation framework for deep model robustness. - Jun Guo 009; Wei Bao; Jiakai Wang; Yuqing Ma; Xinghai Gao; Gang Xiao; Aishan Liu; Jian Dong; Xianglong Liu 001; Wenjun Wu 001 (Pattern Recognit., 2023)

Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game. - Simin Li; Jun Guo 009; Jingqiao Xiu; Ruixiao Xu; Xin Yu 009; Jiakai Wang; Aishan Liu; Yaodong Yang 001; Xianglong Liu 001 (ICLR, 2024)

Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting. - Jun Guo 009; Xiaojian Ma 001; Yue Fan; Huaping Liu 001; Qing Li 003 (CoRR, 2024)

Generate Transferable Adversarial Physical Camouflages via Triplet Attention Suppression. - Jiakai Wang; Xianglong Liu 001; Zixin Yin; Yuxuan Wang; Jun Guo 009; Haotong Qin; Qingtao Wu; Aishan Liu (Int. J. Comput. Vis., 2024)

Attacking cooperative multi-agent reinforcement learning by adversarial minority influence. - Simin Li; Jun Guo 009; Jingqiao Xiu; Yuwei Zheng; Pu Feng; Xin Yu 009; Jiakai Wang; Aishan Liu; Yaodong Yang 001; Bo An 001; Wenjun Wu 001; Xianglong Liu 001 (Neural Networks, 2025)

Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding. - Yue Fan; Xiaojian Ma 001; Rongpeng Su; Jun Guo 009; Rujie Wu; Xi Chen; Qing Li 003 (CoRR, 2025)

FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation. - Jun Guo 009; Xiaojian Ma 001; Yikai Wang 001; Min Yang; Huaping Liu 001; Qing Li 003 (CoRR, 2025)