Yichi Zhang

According to our database, Yichi Zhang authored at least 25 papers between 2021 and 2025.

Collaborative distances:

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

2025

DeceptionBench: A Comprehensive Benchmark for AI Deception Behaviors in Real-world Scenarios.

Yao Huang, Yitong Sun, Yichi Zhang, Ruochen Zhang, Yinpeng Dong, Xingxing Wei

CoRR, October, 2025

Towards Safe Reasoning in Large Reasoning Models via Corrective Intervention.

Yichi Zhang, Yue Ding, Jingwen Yang, Tianwei Luo, Dongbai Li, Ranjie Duan, Qiang Liu, Hang Su, Yinpeng Dong, Jun Zhu

CoRR, September, 2025

Oyster-I: Beyond Refusal - Constructive Safety Alignment for Responsible Language Models.

Ranjie Duan, Jiexi Liu, Xiaojun Jia, Shiji Zhao, Ruoxi Cheng, Fengxiang Wang, Cheng Wei, Yong Xie, Chang Liu, Defeng Li, Yinpeng Dong, Yichi Zhang, Yuefeng Chen, Chongwen Wang, Xingjun Ma, Xingxing Wei, Yang Liu, Hang Su, Jun Zhu, Xinfeng Li, Yitong Sun, Jie Zhang, Jinzhao Hu, Sha Xu, Wenchao Yang, Yitong Yang, Xingyao Zhang, Yingshui Tan, Jialing Tao, Hui Xue

CoRR, September, 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

Mitigating Overthinking in Large Reasoning Models via Manifold Steering.

Yao Huang, Huanran Chen, Shouwei Ruan, Yichi Zhang, Xingxing Wei, Yinpeng Dong

CoRR, May, 2025

Understanding Pre-training and Fine-tuning from Loss Landscape Perspectives.

Huanran Chen, Yinpeng Dong, Zeming Wei, Yao Huang, Yichi Zhang, Hang Su, Jun Zhu

CoRR, May, 2025

RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability.

Yichi Zhang, Zihao Zeng, Dongbai Li, Yao Huang, Zhijie Deng, Yinpeng Dong

CoRR, April, 2025

Self-Memory Alignment: Mitigating Factual Hallucinations with Generalized Improvement.

Siyuan Zhang, Yichi Zhang, Yinpeng Dong, Hang Su

CoRR, February, 2025

STAIR: Improving Safety Alignment with Introspective Reasoning.

Yichi Zhang, Siyuan Zhang, Yao Huang, Zeyu Xia, Zhengwei Fang, Xiao Yang, Ranjie Duan, Dong Yan, Yinpeng Dong, Jun Zhu

CoRR, February, 2025

Breaking the Ceiling: Exploring the Potential of Jailbreak Attacks through Expanding Strategy Space.

Yao Huang, Yitong Sun, Shouwei Ruan, Yichi Zhang, Yinpeng Dong, Xingxing Wei

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Scaling Laws for Black box Adversarial Attacks.

Chuan Liu, Huanran Chen, Yichi Zhang, Yinpeng Dong, Jun Zhu

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

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

PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.

Zhongkai Hao, Jiachen Yao, Chang Su, Hang Su, Ziao Wang, Fanzhi Lu, Zeyu Xia, Yichi Zhang, Songming Liu, Lu Lu, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Rethinking Model Ensemble in Transfer-based Adversarial Attacks.

Huanran Chen, Yichi Zhang, Yinpeng Dong, Xiao Yang, Hang Su, Jun Zhu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Exploring the Transferability of Visual Prompting for Multimodal Large Language Models.

Yichi Zhang, Yinpeng Dong, Siyuan Zhang, Tianzan Min, Hang Su, Jun Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

To make yourself invisible with Adversarial Semantic Contours.

Yichi Zhang, Zijian Zhu, Hang Su, Jun Zhu, Shibao Zheng, Yuan He, Hui Xue

Comput. Vis. Image Underst., April, 2023

How Robust is Google's Bard to Adversarial Image Attacks?

Yinpeng Dong, Huanran Chen, Jiawei Chen, Zhengwei Fang, Xiao Yang, Yichi Zhang, Yu Tian, Hang Su, Jun Zhu

CoRR, 2023

Understanding the Robustness of 3D Object Detection with Bird's-Eye-View Representations in Autonomous Driving.

Zijian Zhu, Yichi Zhang, Hai Chen, Yinpeng Dong, Shu Zhao, Wenbo Ding, Jiachen Zhong, Shibao Zheng

CoRR, 2023

Rethinking Model Ensemble in Transfer-based Adversarial Attacks.

Huanran Chen, Yichi Zhang, Yinpeng Dong, Jun Zhu

CoRR, 2023

Understanding the Robustness of 3D Object Detection with Bird'View Representations in Autonomous Driving.

Zijian Zhu, Yichi Zhang, Hai Chen, Yinpeng Dong, Shu Zhao, Wenbo Ding, Jiachen Zhong, Shibao Zheng

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

2022

Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications.

Zhongkai Hao, Songming Liu, Yichi Zhang, Chengyang Ying, Yao Feng, Hang Su, Jun Zhu

CoRR, 2022

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

Adversarial Semantic Contour for Object Detection.

Yichi Zhang, Zijian Zhu, Xiao Yang, Jun Zhu

CoRR, 2021