Jiawei Zhang

According to our database, Jiawei Zhang authored at least 17 papers between 2021 and 2025.

Collaborative distances:

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

2025

ARMs: Adaptive Red-Teaming Agent against Multimodal Models with Plug-and-Play Attacks.

Zhaorun Chen, Xun Liu, Mintong Kang, Jiawei Zhang, Minzhou Pan, Shuang Yang, Bo Li

CoRR, October, 2025

GuardSet-X: Massive Multi-Domain Safety Policy-Grounded Guardrail Dataset.

Mintong Kang, Zhaorun Chen, Chejian Xu, Jiawei Zhang, Chengquan Guo, Minzhou Pan, Ivan Revilla, Yu Sun, Bo Li

CoRR, June, 2025

MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models.

Chejian Xu, Jiawei Zhang, Zhaorun Chen, Chulin Xie, Mintong Kang, Yujin Potter, Zhun Wang, Zhuowen Yuan, Alexander Xiong, Zidi Xiong, Chenhui Zhang, Lingzhi Yuan, Yi Zeng, Peiyang Xu, Chengquan Guo, Andy Zhou, Jeffrey Ziwei Tan, Xuandong Zhao, Francesco Pinto, Zhen Xiang, Yu Gai, Zinan Lin, Dan Hendrycks, Bo Li, Dawn Song

CoRR, March, 2025

UDora: A Unified Red Teaming Framework against LLM Agents by Dynamically Hijacking Their Own Reasoning.

Jiawei Zhang, Shuang Yang, Bo Li

CoRR, March, 2025

SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models.

Jiawei Zhang, Xuan Yang, Taiqi Wang, Yu Yao, Aleksandr Petiushko, Bo Li

CoRR, March, 2025

MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models.

Chejian Xu, Jiawei Zhang, Zhaorun Chen, Chulin Xie, Mintong Kang, Yujin Potter, Zhun Wang, Zhuowen Yuan, Alexander Xiong, Zidi Xiong, Chenhui Zhang, Lingzhi Yuan, Yi Zeng, Peiyang Xu, Chengquan Guo, Andy Zhou, Jeffrey Ziwei Tan, Xuandong Zhao, Francesco Pinto, Zhen Xiang, et al.

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Eia: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage.

Zeyi Liao, Lingbo Mo, Chejian Xu, Mintong Kang, Jiawei Zhang, Chaowei Xiao, Yuan Tian, Bo Li, Huan Sun

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

AdvWeb: Controllable Black-box Attacks on VLM-powered Web Agents.

Chejian Xu, Mintong Kang, Jiawei Zhang, Zeyi Liao, Lingbo Mo, Mengqi Yuan, Huan Sun, Bo Li

CoRR, 2024

GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning.

Zhen Xiang, Linzhi Zheng, Yanjie Li, Junyuan Hong, Qinbin Li, Han Xie, Jiawei Zhang, Zidi Xiong, Chulin Xie, Carl Yang, Dawn Song, Bo Li

CoRR, 2024

KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual Checking.

Jiawei Zhang, Chejian Xu, Yu Gai, Freddy Lécué, Dawn Song, Bo Li

CoRR, 2024

Benchmarking Large Multimodal Models against Common Corruptions.

Jiawei Zhang, Tianyu Pang, Chao Du, Yi Ren, Bo Li, Min Lin

CoRR, 2024

ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles.

Jiawei Zhang, Chejian Xu, Bo Li

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

2023

DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local Smoothing.

Jiawei Zhang, Zhongzhu Chen, Huan Zhang, Chaowei Xiao, Bo Li

Proceedings of the 32nd USENIX Security Symposium, 2023

CARE: Certifiably Robust Learning with Reasoning via Variational Inference.

Jiawei Zhang, Linyi Li, Ce Zhang, Bo Li

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

2022

Improving Certified Robustness via Statistical Learning with Logical Reasoning.

Zhuolin Yang, Zhikuan Zhao, Boxin Wang, Jiawei Zhang, Linyi Li, Hengzhi Pei, Bojan Karlas, Ji Liu, Heng Guo, Ce Zhang, Bo Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Double Sampling Randomized Smoothing.

Linyi Li, Jiawei Zhang, Tao Xie, Bo Li

Proceedings of the International Conference on Machine Learning, 2022

2021

Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation.

Jiawei Zhang, Linyi Li, Huichen Li, Xiaolu Zhang, Shuang Yang, Bo Li

Proceedings of the 38th International Conference on Machine Learning, 2021