Qizhang Li

According to our database, Qizhang Li authored at least 16 papers between 2020 and 2024.

Collaborative distances:

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

2024

Deciphering the Chaos: Enhancing Jailbreak Attacks via Adversarial Prompt Translation.

Qizhang Li, Xiaochen Yang, Wangmeng Zuo, Yiwen Guo

CoRR, 2024

Improved Generation of Adversarial Examples Against Safety-aligned LLMs.

Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

CoRR, 2024

2023

An Intermediate-Level Attack Framework on the Basis of Linear Regression.

Yiwen Guo, Qizhang Li, Wangmeng Zuo, Hao Chen

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

DualAug: Exploiting Additional Heavy Augmentation with OOD Data Rejection.

Zehao Wang, Yiwen Guo, Qizhang Li, Guanglei Yang, Wangmeng Zuo

CoRR, 2023

Improving Transferability of Adversarial Examples via Bayesian Attacks.

Qizhang Li, Yiwen Guo, Xiaochen Yang, Wangmeng Zuo, Hao Chen

CoRR, 2023

Improving Adversarial Transferability by Intermediate-level Perturbation Decay.

Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

CoRR, 2023

Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly.

Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Adversarial Transferability via Intermediate-level Perturbation Decay.

Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Squeeze Training for Adversarial Robustness.

Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.

Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Collaborative Adversarial Training.

Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

CoRR, 2022

On Steering Multi-Annotations per Sample for Multi-Task Learning.

Yuanze Li, Yiwen Guo, Qizhang Li, Hongzhi Zhang, Wangmeng Zuo

CoRR, 2022

Adversarial Contrastive Learning via Asymmetric InfoNCE.

Qiying Yu, Jieming Lou, Xianyuan Zhan, Qizhang Li, Wangmeng Zuo, Yang Liu, Jingjing Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

2020

Practical No-box Adversarial Attacks against DNNs.

Qizhang Li, Yiwen Guo, Hao Chen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Backpropagating Linearly Improves Transferability of Adversarial Examples.

Yiwen Guo, Qizhang Li, Hao Chen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Yet Another Intermediate-Level Attack.

Qizhang Li, Yiwen Guo, Hao Chen

Proceedings of the Computer Vision - ECCV 2020, 2020