Reverse engineering adversarial attacks with fingerprints from
adversarial examples

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Reverse engineering adversarial attacks with fingerprints from adversarial examples

31 January 2023

David A. Nicholson

Vincent Emanuele

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Papers citing "Reverse engineering adversarial attacks with fingerprints from adversarial examples"

16 / 16 papers shown

Title
SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks Yue Gao Ilia Shumailov Kassem Fawaz AAML 211 0 0 21 Feb 2025
Decision boundaries and convex hulls in the feature space that deep learning functions learn from images Roozbeh Yousefzadeh FAtt 52 5 0 05 Feb 2022
Image classifiers can not be made robust to small perturbations Zheng Dai David K Gifford VLM AAML 55 1 0 07 Dec 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 97 240 0 01 Aug 2021
Square Attack: a query-efficient black-box adversarial attack via random search Maksym Andriushchenko Francesco Croce Nicolas Flammarion Matthias Hein AAML 91 992 0 29 Nov 2019
A Fourier Perspective on Model Robustness in Computer Vision Dong Yin Raphael Gontijo-Lopes Jonathon Shlens E. D. Cubuk Justin Gilmer OOD 81 502 0 21 Jun 2019
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks Haohan Wang Xindi Wu Pengcheng Yin Eric Xing 61 525 0 28 May 2019
On Evaluating Adversarial Robustness Nicholas Carlini Anish Athalye Nicolas Papernot Wieland Brendel Jonas Rauber Dimitris Tsipras Ian Goodfellow Aleksander Madry Alexey Kurakin ELM AAML 98 905 0 18 Feb 2019
Reducing Network Agnostophobia A. Dhamija Manuel Günther Terrance E. Boult AAML UQCV 73 305 0 09 Nov 2018
Are adversarial examples inevitable? Ali Shafahi Wenjie Huang Christoph Studer Soheil Feizi Tom Goldstein SILM 74 283 0 06 Sep 2018
Adversarial Patch Tom B. Brown Dandelion Mané Aurko Roy Martín Abadi Justin Gilmer AAML 91 1,097 0 27 Dec 2017
Countering Adversarial Images using Input Transformations Chuan Guo Mayank Rana Moustapha Cissé Laurens van der Maaten AAML 125 1,406 0 31 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 317 12,131 0 19 Jun 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods Nicholas Carlini D. Wagner AAML 131 1,864 0 20 May 2017
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,121 0 20 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 282 14,963 1 21 Dec 2013

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