Minzhou Pan

According to our database, Minzhou Pan authored at least 13 papers between 2022 and 2025.

Collaborative distances:

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

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

SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations.

Zhaorun Chen, Francesco Pinto, Minzhou Pan, Bo Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

AIR-BENCH 2024: A Safety Benchmark based on Regulation and Policies Specified Risk Categories.

Yi Zeng, Yu Yang, Andy Zhou, Jeffrey Ziwei Tan, Yuheng Tu, Yifan Mai, Kevin Klyman, Minzhou Pan, Ruoxi Jia, Dawn Song, Percy Liang, Bo Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Open-Source Acceleration of Stable-Diffusion.cpp.

Jingxu Ng, Cheng Lv, Pu Zhao, Wei Niu, Juyi Lin, Minzhou Pan, Yun Liang, Yanzhi Wang

CoRR, 2024

AIR-Bench 2024: A Safety Benchmark Based on Risk Categories from Regulations and Policies.

Yi Zeng, Yu Yang, Andy Zhou, Jeffrey Ziwei Tan, Yuheng Tu, Yifan Mai, Kevin Klyman, Minzhou Pan, Ruoxi Jia, Dawn Song, Percy Liang, Bo Li

CoRR, 2024

AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies.

Yi Zeng, Kevin Klyman, Andy Zhou, Yu Yang, Minzhou Pan, Ruoxi Jia, Dawn Song, Percy Liang, Bo Li

CoRR, 2024

Evaluating and Mitigating IP Infringement in Visual Generative AI.

Zhenting Wang, Chen Chen, Vikash Sehwag, Minzhou Pan, Lingjuan Lyu

CoRR, 2024

JIGMARK: A Black-Box Approach for Enhancing Image Watermarks against Diffusion Model Edits.

Minzhou Pan, Yi Zeng, Xue Lin, Ning Yu, Cho-Jui Hsieh, Peter Henderson, Ruoxi Jia

CoRR, 2024

Finding Needles in a Haystack: A Black-Box Approach to Invisible Watermark Detection.

Minzhou Pan, Zhenting Wang, Xin Dong, Vikash Sehwag, Lingjuan Lyu, Xue Lin

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Meta-Sift: How to Sift Out a Clean Subset in the Presence of Data Poisoning?

Yi Zeng, Minzhou Pan, Himanshu Jahagirdar, Ming Jin, Lingjuan Lyu, Ruoxi Jia

Proceedings of the 32nd USENIX Security Symposium, 2023

ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms.

Minzhou Pan, Yi Zeng, Lingjuan Lyu, Xue Lin, Ruoxi Jia

Proceedings of the 32nd USENIX Security Symposium, 2023

Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information.

Yi Zeng, Minzhou Pan, Hoang Anh Just, Lingjuan Lyu, Meikang Qiu, Ruoxi Jia

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?

Yi Zeng, Minzhou Pan, Himanshu Jahagirdar, Ming Jin, Lingjuan Lyu, Ruoxi Jia

CoRR, 2022