Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning

24 September 2022

Papers citing "Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning"

10 / 10 papers shown

Title
Improving the Transferability of Adversarial Attacks by an Input Transpose Qing Wan Shilong Deng Xun Wang AAML 36 0 0 02 Mar 2025
Transferable Adversarial Attacks on SAM and Its Downstream Models Song Xia Wenhan Yang Yi Yu Xun Lin Henghui Ding Lingyu Duan Xudong Jiang AAML SILM 63 6 0 26 Oct 2024
GADT: Enhancing Transferable Adversarial Attacks through Gradient-guided Adversarial Data Transformation Yating Ma Xiaogang Xu Liming Fang Zhe Liu AAML 28 0 0 24 Oct 2024
Detecting Adversarial Examples Furkan Mumcu Yasin Yilmaz AAML 21 1 0 22 Oct 2024
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains Qilong Zhang Xiaodan Li YueFeng Chen Jingkuan Song Lianli Gao Yuan He Hui Xue AAML 67 64 0 27 Jan 2022
Admix: Enhancing the Transferability of Adversarial Attacks Xiaosen Wang Xu He Jingdong Wang Kun He AAML 78 193 0 31 Jan 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 264 3,110 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,198 0 01 Sep 2014