Yet Another Intermediate-Level Attack. - Qizhang Li; Yiwen Guo; Hao Chen 003 (ECCV (16), 2020)

Backpropagating Linearly Improves Transferability of Adversarial Examples. - Yiwen Guo; Qizhang Li; Hao Chen 003 (NeurIPS, 2020)

Practical No-box Adversarial Attacks against DNNs. - Qizhang Li; Yiwen Guo; Hao Chen 003 (NeurIPS, 2020)

Adversarial Contrastive Learning via Asymmetric InfoNCE. - Qiying Yu; Jieming Lou; Xianyuan Zhan; Qizhang Li; Wangmeng Zuo; Yang Liu 165; Jingjing Liu (ECCV (5), 2022)

On Steering Multi-Annotations per Sample for Multi-Task Learning. - Yuanze Li; Yiwen Guo; Qizhang Li; Hongzhi Zhang; Wangmeng Zuo (CoRR, 2022)

Collaborative Adversarial Training. - Qizhang Li; Yiwen Guo; Wangmeng Zuo; Hao Chen 003 (CoRR, 2022)

Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples. - Qizhang Li; Yiwen Guo; Wangmeng Zuo; Hao Chen 003 (ICLR, 2023)

Squeeze Training for Adversarial Robustness. - Qizhang Li; Yiwen Guo; Wangmeng Zuo; Hao Chen 003 (ICLR, 2023)

Improving Adversarial Transferability via Intermediate-level Perturbation Decay. - Qizhang Li; Yiwen Guo; Wangmeng Zuo; Hao Chen 003 (NeurIPS, 2023)

Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly. - Qizhang Li; Yiwen Guo; Wangmeng Zuo; Hao Chen 003 (NeurIPS, 2023)

Improving Adversarial Transferability by Intermediate-level Perturbation Decay. - Qizhang Li; Yiwen Guo; Wangmeng Zuo; Hao Chen 003 (CoRR, 2023)

Improving Transferability of Adversarial Examples via Bayesian Attacks. - Qizhang Li; Yiwen Guo; Xiaochen Yang; Wangmeng Zuo; Hao Chen 003 (CoRR, 2023)

An Intermediate-Level Attack Framework on the Basis of Linear Regression. - Yiwen Guo; Qizhang Li; Wangmeng Zuo; Hao Chen 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Improved Generation of Adversarial Examples Against Safety-aligned LLMs. - Qizhang Li; Yiwen Guo; Wangmeng Zuo; Hao Chen 003 (NeurIPS, 2024)

Deciphering the Chaos: Enhancing Jailbreak Attacks via Adversarial Prompt Translation. - Qizhang Li; Xiaochen Yang; Wangmeng Zuo; Yiwen Guo (CoRR, 2024)

DualAug: Exploiting additional heavy augmentation with OOD data rejection. - Zehao Wang; Yiwen Guo; Qizhang Li; Guanglei Yang; Wangmeng Zuo (Neurocomputing, 2025)

Enhancing visual adversarial transferability via affine transformation of intermediate-level perturbations. - Qizhang Li; Yiwen Guo; Wangmeng Zuo (Pattern Recognit. Lett., 2025)

Triad: Empowering LMM-based Anomaly Detection with Vision Expert-guided Visual Tokenizer and Manufacturing Process. - Yuanze Li; Shihao Yuan; Haolin Wang; Qizhang Li; Ming Liu 018; Chen Xu; Guangming Shi; Wangmeng Zuo (CoRR, 2025)

Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection. - Weijun Zhuang; Qizhang Li; Xin Li 034; Ming Liu 018; Xiaopeng Hong; Feng Gao; Fan Yang 035; Wangmeng Zuo (CoRR, 2025)