Li, Qizhang

10 publications

ICCV 2025 Triad: Empowering LMM-Based Anomaly Detection with Expert-Guided Region-of-Interest Tokenizer and Manufacturing Process Yuanze Li, Shihao Yuan, Haolin Wang, Qizhang Li, Ming Liu, Chen Xu, Guangming Shi, Wangmeng Zuo

NeurIPS 2024 Improved Generation of Adversarial Examples Against Safety-Aligned LLMs Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

NeurIPS 2023 Improving Adversarial Transferability via Intermediate-Level Perturbation Decay Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

ICLR 2023 Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

ICLR 2023 Squeeze Training for Adversarial Robustness Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

NeurIPS 2023 Towards Evaluating Transfer-Based Attacks Systematically, Practically, and Fairly Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

ECCV 2022 Adversarial Contrastive Learning via Asymmetric InfoNCE Qiying Yu, Jieming Lou, Xianyuan Zhan, Qizhang Li, Wangmeng Zuo, Yang Liu, Jingjing Liu

NeurIPS 2020 Backpropagating Linearly Improves Transferability of Adversarial Examples Yiwen Guo, Qizhang Li, Hao Chen

NeurIPS 2020 Practical No-Box Adversarial Attacks Against DNNs Qizhang Li, Yiwen Guo, Hao Chen

ECCV 2020 Yet Another Intermediate-Level Attack Qizhang Li, Yiwen Guo, Hao Chen