Making Adversarial Examples More Transferable and Indistinguishable

8 July 2020

Papers citing "Making Adversarial Examples More Transferable and Indistinguishable"

9 / 9 papers shown

Title
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness Kejia Zhang Juanjuan Weng Yuanzheng Cai Zhiming Luo Shaozi Li AAML 67 0 0 04 Jul 2024
Unified Physical-Digital Face Attack Detection Hao Fang Ajian Liu Haocheng Yuan Junze Zheng Dingheng Zeng ... Jiankang Deng Sergio Escalera Xiaoming Liu Jun Wan Zhen Lei CVBM AAML 21 13 0 31 Jan 2024
Improving Adversarial Transferability with Scheduled Step Size and Dual Example Zeliang Zhang Peihan Liu Xiaosen Wang Chenliang Xu AAML 35 3 0 30 Jan 2023
Enhancing Targeted Attack Transferability via Diversified Weight Pruning Hung-Jui Wang Yuehua Wu Shang-Tse Chen AAML 24 2 0 18 Aug 2022
Adaptive Image Transformations for Transfer-based Adversarial Attack Zheng Yuan Jie Zhang Shiguang Shan OOD 24 25 0 27 Nov 2021
Adaptive Perturbation for Adversarial Attack Zheng Yuan Jie Zhang Zhaoyan Jiang Liangliang Li Shiguang Shan AAML 27 3 0 27 Nov 2021
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples Xiaojun Jia Xingxing Wei Xiaochun Cao H. Foroosh AAML 64 264 0 30 Nov 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,112 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,842 0 08 Jul 2016