Chang Liu - RankMe

29 papers A* 5Misc 1Journal 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AEMIM: Adversarial Examples Meet Masked Image Modeling. Int. J. Comput. Vis. Wenzhao Xiang, Chang Liu, Hang Su, Hongyang Yu
2025	J	`jnl`	A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking. Int. J. Comput. Vis. Chang Liu, Yinpeng Dong, Wenzhao Xiang, Xiao Yang, Hang Su, Jun Zhu, Yuefeng Chen, Yuan He, Hui Xue, Shibao Zheng
2025	J	`jnl`	A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents. CoRR Hang Su, Jun Luo, Chang Liu, Xiao Yang, Yichi Zhang, Yinpeng Dong, Jun Zhu
2025	Misc	`conf`	Assessing Robustness of Multi-Modal Large Language Models in Image Classification through Hierarchical WordNet-Based Evaluation. ICASSP Chang Liu, Hai Chen, Boxiang Wang, Shibao Zheng
2025	J	`jnl`	Improving model generalization by on-manifold adversarial augmentation in the frequency domain. J. Vis. Commun. Image Represent. Chang Liu, Wenzhao Xiang, Yuan He, Hui Xue, Shibao Zheng, Hang Su
2025	J	`jnl`	RobustPrompt: Learning to defend against adversarial attacks with adaptive visual prompts. Pattern Recognit. Lett. Chang Liu, Wenzhao Xiang, Yinpeng Dong, Xingxing Zhang, Liyuan Wang, Ranjie Duan, Shibao Zheng, Hang Su
2025	J	`jnl`	Strata-Sword: A Hierarchical Safety Evaluation towards LLMs based on Reasoning Complexity of Jailbreak Instructions. CoRR Shiji Zhao, Ranjie Duan, Jiexi Liu, Xiaojun Jia, Fengxiang Wang, Cheng Wei, Ruoxi Cheng, Yong Xie, Chang Liu, Qing Guo, Jialing Tao, Hui Xue, Xingxing Wei
2025	J	`jnl`	Unveiling Trust in Multimodal Large Language Models: Evaluation, Analysis, and Mitigation. CoRR Yichi Zhang, Yao Huang, Yifan Wang, Yitong Sun, Chang Liu, Zhe Zhao, Zhengwei Fang, Huanran Chen, Xiao Yang, Xingxing Wei, Hang Su, Yinpeng Dong, Jun Zhu
2025	A*	`conf`	Wavelet-Driven Masked Image Modeling: A Path to Efficient Visual Representation. AAAI Wenzhao Xiang, Chang Liu, Hongyang Yu, Xilin Chen
2025	J	`jnl`	Wavelet-Driven Masked Image Modeling: A Path to Efficient Visual Representation. CoRR Wenzhao Xiang, Chang Liu, Hongyang Yu, Xilin Chen
2024	J	`jnl`	AEMIM: Adversarial Examples Meet Masked Image Modeling. CoRR Wenzhao Xiang, Chang Liu, Hang Su, Hongyang Yu
2024	A*	`conf`	Articulated Object Manipulation with Coarse-to-fine Affordance for Mitigating the Effect of Point Cloud Noise. ICRA Suhan Ling, Yian Wang, Ruihai Wu, Shiguang Wu, Yuzheng Zhuang, Tianyi Xu, Yu Li, Chang Liu, Hao Dong
2024	J	`jnl`	Articulated Object Manipulation with Coarse-to-fine Affordance for Mitigating the Effect of Point Cloud Noise. CoRR Suhan Ling, Yian Wang, Shiguang Wu, Yuzheng Zhuang, Tianyi Xu, Yu Li, Chang Liu, Hao Dong
2024	J	`jnl`	Benchmarking Trustworthiness of Multimodal Large Language Models: A Comprehensive Study. CoRR Yichi Zhang, Yao Huang, Yitong Sun, Chang Liu, Zhe Zhao, Zhengwei Fang, Yifan Wang, Huanran Chen, Xiao Yang, Xingxing Wei, Hang Su, Yinpeng Dong, Jun Zhu
2024	A*	`conf`	Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning. ICML Zhuo Huang, Chang Liu, Yinpeng Dong, Hang Su, Shibao Zheng, Tongliang Liu
2024	A*	`conf`	MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models. NeurIPS Yichi Zhang, Yao Huang, Yitong Sun, Chang Liu, Zhe Zhao, Zhengwei Fang, Yifan Wang, Huanran Chen, Xiao Yang, Xingxing Wei, Hang Su, Yinpeng Dong, Jun Zhu
2024	J	`jnl`	RGBGrasp: Image-Based Object Grasping by Capturing Multiple Views During Robot arm Movement With Neural Radiance Fields. IEEE Robotics Autom. Lett. Chang Liu, Kejian Shi, Kaichen Zhou, Haoxiao Wang, Jiyao Zhang, Hao Dong
2024	J	`jnl`	Training Robust Deep Collaborative Filtering Models via Adversarial Noise Propagation. ACM Trans. Inf. Syst. Hai Chen, Fulan Qian, Chang Liu, Yanping Zhang, Hang Su, Shu Zhao
2023	J	`jnl`	A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking. CoRR Chang Liu, Yinpeng Dong, Wenzhao Xiang, Xiao Yang, Hang Su, Jun Zhu, Yuefeng Chen, Yuan He, Hui Xue, Shibao Zheng
2023	J	`jnl`	Improving Model Generalization by On-manifold Adversarial Augmentation in the Frequency Domain. CoRR Chang Liu, Wenzhao Xiang, Yuan He, Hui Xue, Shibao Zheng, Hang Su
2023	J	`jnl`	Improving the robustness of adversarial attacks using an affine-invariant gradient estimator. Comput. Vis. Image Underst. Wenzhao Xiang, Hang Su, Chang Liu, Yandong Guo, Shibao Zheng
2023	J	`jnl`	Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning. CoRR Zhuo Huang, Chang Liu, Yinpeng Dong, Hang Su, Shibao Zheng, Tongliang Liu
2023	J	`jnl`	RGBGrasp: Image-based Object Grasping by Capturing Multiple Views during Robot Arm Movement with Neural Radiance Fields. CoRR Chang Liu, Kejian Shi, Kaichen Zhou, Haoxiao Wang, Jiyao Zhang, Hao Dong
2023	A*	`conf`	Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition. CVPR Xiao Yang, Chang Liu, Longlong Xu, Yikai Wang, Yinpeng Dong, Ning Chen, Hang Su, Jun Zhu
2023	J	`jnl`	Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition. CoRR Xiao Yang, Chang Liu, Longlong Xu, Yikai Wang, Yinpeng Dong, Ning Chen, Hang Su, Jun Zhu
2021	J	`jnl`	Improving Robustness of Adversarial Attacks Using an Affine-Invariant Gradient Estimator. CoRR Wenzhao Xiang, Hang Su, Chang Liu, Yandong Guo, Shibao Zheng
2021	J	`jnl`	Improving Visual Quality of Unrestricted Adversarial Examples with Wavelet-VAE. CoRR Wenzhao Xiang, Chang Liu, Shibao Zheng
2021	J	`jnl`	Unrestricted Adversarial Attacks on ImageNet Competition. CoRR Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Fangcheng Liu, Chao Zhang, Hongyang Zhang, Yichi Zhang, Shilong Liu, Chang Liu, Wenzhao Xiang, Yajie Wang, Huipeng Zhou, Haoran Lyu, Yidan Xu, Zixuan Xu, Taoyu Zhu, Wenjun Li, Xianfeng Gao, Guoqiu Wang, Huanqian Yan, Ying Guo, Chaoning Zhang, Zheng Fang, Yang Wang, Bingyang Fu, Yunfei Zheng, Yekui Wang, Haorong Luo, Zhen Yang
2021	J	`jnl`	You Cannot Easily Catch Me: A Low-Detectable Adversarial Patch for Object Detectors. CoRR Zijian Zhu, Hang Su, Chang Liu, Wenzhao Xiang, Shibao Zheng