Chang Liu

According to our database, Chang Liu authored at least 20 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Unveiling Trust in Multimodal Large Language Models: Evaluation, Analysis, and Mitigation.

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

CoRR, August, 2025

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents.

Hang Su, Jun Luo, Chang Liu, Xiao Yang, Yichi Zhang, Yinpeng Dong, Jun Zhu

CoRR, June, 2025

A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking.

Chang Liu, Yinpeng Dong, Wenzhao Xiang, Xiao Yang, Hang Su, Jun Zhu, Yuefeng Chen, Yuan He, Hui Xue, Shibao Zheng

Int. J. Comput. Vis., February, 2025

RobustPrompt: Learning to defend against adversarial attacks with adaptive visual prompts.

Chang Liu, Wenzhao Xiang, Yinpeng Dong, Xingxing Zhang, Liyuan Wang, Ranjie Duan, Shibao Zheng, Hang Su

Pattern Recognit. Lett., 2025

Improving model generalization by on-manifold adversarial augmentation in the frequency domain.

Chang Liu, Wenzhao Xiang, Yuan He, Hui Xue, Shibao Zheng, Hang Su

J. Vis. Commun. Image Represent., 2025

Assessing Robustness of Multi-Modal Large Language Models in Image Classification through Hierarchical WordNet-Based Evaluation.

Chang Liu, Hai Chen, Boxiang Wang, Shibao Zheng

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Wavelet-Driven Masked Image Modeling: A Path to Efficient Visual Representation.

Wenzhao Xiang, Chang Liu, Hongyang Yu, Xilin Chen

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

RGBGrasp: Image-Based Object Grasping by Capturing Multiple Views During Robot arm Movement With Neural Radiance Fields.

Chang Liu, Kejian Shi, Kaichen Zhou, Haoxiao Wang, Jiyao Zhang, Hao Dong

IEEE Robotics Autom. Lett., June, 2024

Training Robust Deep Collaborative Filtering Models via Adversarial Noise Propagation.

Hai Chen, Fulan Qian, Chang Liu, Yanping Zhang, Hang Su, Shu Zhao

ACM Trans. Inf. Syst., January, 2024

AEMIM: Adversarial Examples Meet Masked Image Modeling.

Wenzhao Xiang, Chang Liu, Hang Su, Hongyang Yu

CoRR, 2024

Benchmarking Trustworthiness of Multimodal Large Language Models: A Comprehensive Study.

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

CoRR, 2024

Articulated Object Manipulation with Coarse-to-fine Affordance for Mitigating the Effect of Point Cloud Noise.

Suhan Ling, Yian Wang, Shiguang Wu, Yuzheng Zhuang, Tianyi Xu, Yu Li, Chang Liu, Hao Dong

CoRR, 2024

MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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, Yuzheng Zhuang, Tianyi Xu, Yu Li, Chang Liu, Hao Dong

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning.

Zhuo Huang, Chang Liu, Yinpeng Dong, Hang Su, Shibao Zheng, Tongliang Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Improving the robustness of adversarial attacks using an affine-invariant gradient estimator.

Wenzhao Xiang, Hang Su, Chang Liu, Yandong Guo, Shibao Zheng

Comput. Vis. Image Underst., March, 2023

Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition.

Xiao Yang, Chang Liu, Longlong Xu, Yikai Wang, Yinpeng Dong, Ning Chen, Hang Su, Jun Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Unrestricted Adversarial Attacks on ImageNet Competition.

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

CoRR, 2021

You Cannot Easily Catch Me: A Low-Detectable Adversarial Patch for Object Detectors.

Zijian Zhu, Hang Su, Chang Liu, Wenzhao Xiang, Shibao Zheng

CoRR, 2021

Improving Visual Quality of Unrestricted Adversarial Examples with Wavelet-VAE.

Wenzhao Xiang, Chang Liu, Shibao Zheng

CoRR, 2021