Improving Visual Quality of Unrestricted Adversarial Examples with Wavelet-VAE. - Wenzhao Xiang 001; Chang Liu 077; Shibao Zheng (CoRR, 2021)

You Cannot Easily Catch Me: A Low-Detectable Adversarial Patch for Object Detectors. - Zijian Zhu; Hang Su 006; Chang Liu 077; Wenzhao Xiang 001; Shibao Zheng (CoRR, 2021)

Unrestricted Adversarial Attacks on ImageNet Competition. - Yuefeng Chen; Xiaofeng Mao; Yuan He 011; Hui Xue 001; Chao Li; Yinpeng Dong; Qi-An Fu; Xiao Yang; Wenzhao Xiang 001; Tianyu Pang; Hang Su 006; Jun Zhu 001; et al. (CoRR, 2021)

Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition. - Xiao Yang; Chang Liu 077; Longlong Xu; Yikai Wang 001; Yinpeng Dong; Ning Chen 002; Hang Su 006; Jun Zhu 001 (CVPR, 2023)

Improving the robustness of adversarial attacks using an affine-invariant gradient estimator. - Wenzhao Xiang 001; Hang Su 006; Chang Liu 077; Yandong Guo; Shibao Zheng (Comput. Vis. Image Underst., 2023)

Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning. - Zhuo Huang; Chang Liu 077; Yinpeng Dong; Hang Su 006; Shibao Zheng; Tongliang Liu (ICML, 2024)

Articulated Object Manipulation with Coarse-to-fine Affordance for Mitigating the Effect of Point Cloud Noise. - Suhan Ling; Yian Wang; Ruihai Wu; Shiguang Wu 004; Yuzheng Zhuang; Tianyi Xu; Yu Li 022; Chang Liu 077; Hao Dong 003 (ICRA, 2024)

MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models. - Yichi Zhang; Yao Huang; Yitong Sun 002; Chang Liu 077; Zhe Zhao; Zhengwei Fang; Yifan Wang; Huanran Chen; Xiao Yang; Xingxing Wei 001; Hang Su 006; Yinpeng Dong; et al. (NeurIPS, 2024)

Articulated Object Manipulation with Coarse-to-fine Affordance for Mitigating the Effect of Point Cloud Noise. - Suhan Ling; Yian Wang; Shiguang Wu 004; Yuzheng Zhuang; Tianyi Xu; Yu Li 022; Chang Liu 077; Hao Dong 003 (CoRR, 2024)

Benchmarking Trustworthiness of Multimodal Large Language Models: A Comprehensive Study. - Yichi Zhang; Yao Huang; Yitong Sun 002; Chang Liu 077; Zhe Zhao; Zhengwei Fang; Yifan Wang; Huanran Chen; Xiao Yang; Xingxing Wei 001; Hang Su 006; Yinpeng Dong; et al. (CoRR, 2024)

AEMIM: Adversarial Examples Meet Masked Image Modeling. - Wenzhao Xiang 001; Chang Liu 077; Hang Su 006; Hongyang Yu 001 (CoRR, 2024)

Training Robust Deep Collaborative Filtering Models via Adversarial Noise Propagation. - Hai Chen; Fulan Qian; Chang Liu 077; Yanping Zhang 001; Hang Su 006; Shu Zhao (ACM Trans. Inf. Syst., 2024)

RGBGrasp: Image-Based Object Grasping by Capturing Multiple Views During Robot arm Movement With Neural Radiance Fields. - Chang Liu 077; Kejian Shi; Kaichen Zhou; Haoxiao Wang; Jiyao Zhang; Hao Dong 003 (IEEE Robotics Autom. Lett., 2024)

Wavelet-Driven Masked Image Modeling: A Path to Efficient Visual Representation. - Wenzhao Xiang 001; Chang Liu 077; Hongyang Yu 001; Xilin Chen 001 (AAAI, 2025)

Assessing Robustness of Multi-Modal Large Language Models in Image Classification through Hierarchical WordNet-Based Evaluation. - Chang Liu 077; Hai Chen; Boxiang Wang; Shibao Zheng (ICASSP, 2025)

Improving model generalization by on-manifold adversarial augmentation in the frequency domain. - Chang Liu 077; Wenzhao Xiang 001; Yuan He 011; Hui Xue 001; Shibao Zheng; Hang Su 006 (J. Vis. Commun. Image Represent., 2025)

RobustPrompt: Learning to defend against adversarial attacks with adaptive visual prompts. - Chang Liu 077; Wenzhao Xiang 001; Yinpeng Dong; Xingxing Zhang 001; Liyuan Wang; Ranjie Duan; Shibao Zheng; Hang Su 006 (Pattern Recognit. Lett., 2025)

A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking. - Chang Liu 077; Yinpeng Dong; Wenzhao Xiang 001; Xiao Yang; Hang Su 006; Jun Zhu 001; Yuefeng Chen; Yuan He 011; Hui Xue 001; Shibao Zheng (Int. J. Comput. Vis., 2025)

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents. - Hang Su 006; Jun Luo; Chang Liu 077; Xiao Yang; Yichi Zhang; Yinpeng Dong; Jun Zhu 001 (CoRR, 2025)

Unveiling Trust in Multimodal Large Language Models: Evaluation, Analysis, and Mitigation. - Yichi Zhang; Yao Huang; Yifan Wang; Yitong Sun 002; Chang Liu 077; Zhe Zhao; Zhengwei Fang; Huanran Chen; Xiao Yang; Xingxing Wei 001; Hang Su 006; Yinpeng Dong; et al. (CoRR, 2025)