Qizhang Li

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 22

Top Topics

Linear Regression

Terrorist Attacks

Countermeasures

Intermediate Level

Top Venues

Publications

Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen
Improved Generation of Adversarial Examples Against Safety-aligned LLMs. CoRR (2024)
Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen
Squeeze Training for Adversarial Robustness. ICLR (2023)
Yiwen Guo, Qizhang Li, Wangmeng Zuo, Hao Chen
An Intermediate-Level Attack Framework on the Basis of Linear Regression. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly. NeurIPS (2023)
Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples. ICLR (2023)
Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen
Improving Adversarial Transferability via Intermediate-level Perturbation Decay. NeurIPS (2023)
Zehao Wang, Yiwen Guo, Qizhang Li, Guanglei Yang, Wangmeng Zuo
DualAug: Exploiting Additional Heavy Augmentation with OOD Data Rejection. CoRR (2023)
Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples. CoRR (2023)
Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen
Improving Adversarial Transferability by Intermediate-level Perturbation Decay. CoRR (2023)
Qizhang Li, Yiwen Guo, Xiaochen Yang, Wangmeng Zuo, Hao Chen
Improving Transferability of Adversarial Examples via Bayesian Attacks. CoRR (2023)
Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly. CoRR (2023)
Qiying Yu, Jieming Lou, Xianyuan Zhan, Qizhang Li, Wangmeng Zuo, Yang Liu, Jingjing Liu
Adversarial Contrastive Learning via Asymmetric InfoNCE. ECCV (5) (2022)
Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen
Collaborative Adversarial Training. CoRR (2022)
Qiying Yu, Jieming Lou, Xianyuan Zhan, Qizhang Li, Wangmeng Zuo, Yang Liu, Jingjing Liu
Adversarial Contrastive Learning via Asymmetric InfoNCE. CoRR (2022)
Yiwen Guo, Qizhang Li, Wangmeng Zuo, Hao Chen
An Intermediate-level Attack Framework on The Basis of Linear Regression. CoRR (2022)
Yuanze Li, Yiwen Guo, Qizhang Li, Hongzhi Zhang, Wangmeng Zuo
On Steering Multi-Annotations per Sample for Multi-Task Learning. CoRR (2022)
Qizhang Li, Yiwen Guo, Hao Chen
Practical No-box Adversarial Attacks against DNNs. CoRR (2020)
Qizhang Li, Yiwen Guo, Hao Chen
Practical No-box Adversarial Attacks against DNNs. NeurIPS (2020)
Yiwen Guo, Qizhang Li, Hao Chen
Backpropagating Linearly Improves Transferability of Adversarial Examples. NeurIPS (2020)
Qizhang Li, Yiwen Guo, Hao Chen
Yet Another Intermediate-Level Attack. ECCV (16) (2020)
Qizhang Li, Yiwen Guo, Hao Chen
Yet Another Intermediate-Level Attack. CoRR (2020)
Yiwen Guo, Qizhang Li, Hao Chen
Backpropagating Linearly Improves Transferability of Adversarial Examples. CoRR (2020)