Guo, Yiwen

26 publications

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

NeurIPS 2023 Adversarial Examples Are Not Real Features Ang Li, Yifei Wang, Yiwen Guo, Yisen Wang

CVPR 2023 CFA: Class-Wise Calibrated Fair Adversarial Training Zeming Wei, Yifei Wang, Yiwen Guo, Yisen Wang

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

ICCV 2023 MHCN: A Hyperbolic Neural Network Model for Multi-View Hierarchical Clustering Fangfei Lin, Bing Bai, Yiwen Guo, Hao Chen, Yazhou Ren, Zenglin Xu

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

CVPR 2023 Texts as Images in Prompt Tuning for Multi-Label Image Recognition Zixian Guo, Bowen Dong, Zhilong Ji, Jinfeng Bai, Yiwen Guo, Wangmeng Zuo

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

NeurIPS 2022 When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture Yichuan Mo, Dongxian Wu, Yifei Wang, Yiwen Guo, Yisen Wang

ICLR 2021 Policy-Driven Attack: Learning to Query for Hard-Label Black-Box Adversarial Examples Ziang Yan, Yiwen Guo, Jian Liang, Changshui Zhang

MLJ 2021 Protect Privacy of Deep Classification Networks by Exploiting Their Generative Power Jiyu Chen, Yiwen Guo, Qianjun Zheng, Hao Chen

NeurIPS 2021 Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems Zixiu Wang, Yiwen Guo, Hu Ding

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

ECML-PKDD 2020 Metric Learning for Categorical and Ambiguous Features: An Adversarial Method Xiaochen Yang, Mingzhi Dong, Yiwen Guo, Jing-Hao Xue

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

ICLR 2020 Sparse Coding with Gated Learned ISTA Kailun Wu, Yiwen Guo, Ziang Li, Changshui Zhang

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

NeurIPS 2019 DATA: Differentiable ArchiTecture Approximation Jianlong Chang, Xinbang Zhang, Yiwen Guo, Gaofeng Meng, Shiming Xiang, Chunhong Pan

NeurIPS 2019 Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-Box Attacks Yiwen Guo, Ziang Yan, Changshui Zhang

NeurIPS 2018 Deep Defense: Training DNNs with Improved Adversarial Robustness Ziang Yan, Yiwen Guo, Changshui Zhang

NeurIPS 2018 Sparse DNNs with Improved Adversarial Robustness Yiwen Guo, Chao Zhang, Changshui Zhang, Yurong Chen

ICLR 2017 Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou, Anbang Yao, Yiwen Guo, Lin Xu, Yurong Chen

CVPR 2017 Network Sketching: Exploiting Binary Structure in Deep CNNs Yiwen Guo, Anbang Yao, Hao Zhao, Yurong Chen

CVPR 2017 Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang

NeurIPS 2016 Dynamic Network Surgery for Efficient DNNs Yiwen Guo, Anbang Yao, Yurong Chen