Introducing Competition to Boost the Transferability of Targeted
Adversarial Examples through Clean Feature Mixup

Introducing Competition to Boost the Transferability of Targeted Adversarial Examples through Clean Feature Mixup

24 May 2023

Myung-Joon Kwon

Papers citing "Introducing Competition to Boost the Transferability of Targeted Adversarial Examples through Clean Feature Mixup"

17 / 17 papers shown

Title
A Simple DropConnect Approach to Transfer-based Targeted Attack Tongrui Su Qingbin Li Shengyu Zhu Wei Chen Xueqi Cheng AAML 69 0 0 24 Apr 2025
Rethinking Target Label Conditioning in Adversarial Attacks: A 2D Tensor-Guided Generative Approach Hangyu Liu Bo Peng Pengxiang Ding Donglin Wang AAML 28 0 0 19 Apr 2025
Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement Yuchen Ren Zhengyu Zhao Chenhao Lin Bo Yang Lu Zhou Zhe Liu Chao Shen ViT 47 0 0 19 Mar 2025
Improving the Transferability of Adversarial Attacks by an Input Transpose Qing Wan Shilong Deng Xun Wang AAML 36 0 0 02 Mar 2025
Boosting Adversarial Transferability with Spatial Adversarial Alignment Zhaoyu Chen Haijing Guo Kaixun Jiang Jiyuan Fu Xinyu Zhou Dingkang Yang H. Tang Bo-wen Li Wenqiang Zhang AAML 38 0 0 03 Jan 2025
Two Heads Are Better Than One: Averaging along Fine-Tuning to Improve Targeted Transferability Hui Zeng Sanshuai Cui Biwei Chen Anjie Peng AAML 37 0 0 31 Dec 2024
Improving Transferable Targeted Attacks with Feature Tuning Mixup K. Liang Xuelong Dai Yanjie Li Dong Wang Bin Xiao AAML 152 0 0 23 Nov 2024
S $^4$ ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack Yongxiang Liu Bowen Peng Li Liu X. Li 110 0 0 13 Oct 2024
On the Adversarial Transferability of Generalized "Skip Connections" Yisen Wang Yichuan Mo Dongxian Wu Mingjie Li Xingjun Ma Zhouchen Lin AAML 28 2 0 11 Oct 2024
Improving Transferable Targeted Adversarial Attack via Normalized Logit Calibration and Truncated Feature Mixing Juanjuan Weng Zhiming Luo Shaozi Li AAML 23 0 0 10 May 2024
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability Juanjuan Weng Zhiming Luo Shaozi Li AAML 24 1 0 06 May 2024
SoK: Analyzing Adversarial Examples: A Framework to Study Adversary Knowledge L. Fenaux Florian Kerschbaum AAML 34 0 0 22 Feb 2024
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 18 27 0 21 Dec 2022
Admix: Enhancing the Transferability of Adversarial Attacks Xiaosen Wang Xu He Jingdong Wang Kun He AAML 78 192 0 31 Jan 2021
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 206 14,367 0 07 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 252 36,362 0 25 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 281 5,835 0 08 Jul 2016