Towards Good Practices in Evaluating Transfer Adversarial Attacks

17 November 2022

Laurent Amsaleg

Michael Backes

AAML

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Papers citing "Towards Good Practices in Evaluating Transfer Adversarial Attacks"

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Title
On the Adversarial Transferability of Generalized "Skip Connections" Yisen Wang Yichuan Mo Dongxian Wu Mingjie Li Xingjun Ma Zhouchen Lin AAML 21 2 0 11 Oct 2024
Geometric Remove-and-Retrain (GOAR): Coordinate-Invariant eXplainable AI Assessment Yong-Hyun Park Junghoon Seo Bomseok Park Seongsu Lee Junghyo Jo AAML 32 0 0 17 Jul 2024
Enhancing robustness of data-driven SHM models: adversarial training with circle loss Xiangli Yang Xijie Deng Hanwei Zhang Yang Zou Jianxi Yang AAML 27 0 0 20 Jun 2024
Rethinking PGD Attack: Is Sign Function Necessary? Junjie Yang Tianlong Chen Xuxi Chen Zhangyang Wang Yingbin Liang AAML 23 1 0 03 Dec 2023
Constrained Adaptive Attacks: Realistic Evaluation of Adversarial Examples and Robust Training of Deep Neural Networks for Tabular Data Thibault Simonetto Salah Ghamizi Antoine Desjardins Maxime Cordy Yves Le Traon OOD AAML 11 3 0 08 Nov 2023
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly Qizhang Li Yiwen Guo Wangmeng Zuo Hao Chen ELM AAML 25 2 0 02 Nov 2023
PubDef: Defending Against Transfer Attacks From Public Models Chawin Sitawarin Jaewon Chang David Huang Wesson Altoyan David A. Wagner AAML 24 5 0 26 Oct 2023
A Survey on Transferability of Adversarial Examples across Deep Neural Networks Jindong Gu Xiaojun Jia Pau de Jorge Wenqain Yu Xinwei Liu ... Anjun Hu Ashkan Khakzar Zhijiang Li Xiaochun Cao Philip H. S. Torr AAML 22 26 0 26 Oct 2023
SoK: Pitfalls in Evaluating Black-Box Attacks Fnu Suya Anshuman Suri Tingwei Zhang Jingtao Hong Yuan Tian David E. Evans AAML 24 6 0 26 Oct 2023
Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection Weijie Wang Zhengyu Zhao N. Sebe Bruno Lepri AAML 32 2 0 03 Sep 2023
Robustness Over Time: Understanding Adversarial Examples' Effectiveness on Longitudinal Versions of Large Language Models Yugeng Liu Tianshuo Cong Zhengyu Zhao Michael Backes Yun Shen Yang Zhang AAML 33 6 0 15 Aug 2023
Generative Watermarking Against Unauthorized Subject-Driven Image Synthesis Y. Ma Zhengyu Zhao Xinlei He Zheng Li Michael Backes Yang Zhang AAML WIGM 9 21 0 13 Jun 2023
Going Further: Flatness at the Rescue of Early Stopping for Adversarial Example Transferability Martin Gubri Maxime Cordy Yves Le Traon AAML 8 3 1 05 Apr 2023
How to choose your best allies for a transferable attack? Thibault Maho Seyed-Mohsen Moosavi-Dezfooli Teddy Furon AAML 6 1 0 05 Apr 2023
Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge Dingcheng Yang Zihao Xiao Wenjian Yu AAML 15 5 0 16 Jun 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 195 415 0 16 May 2022
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 62 64 0 27 Jan 2022
Admix: Enhancing the Transferability of Adversarial Attacks Xiaosen Wang Xu He Jingdong Wang Kun He AAML 68 192 0 31 Jan 2021
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 247 36,237 0 25 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,830 0 08 Jul 2016