The Space of Adversarial Strategies

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The Space of Adversarial Strategies

9 September 2022

Ryan Sheatsley

Blaine Hoak

Eric Pauley

Patrick McDaniel

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Papers citing "The Space of Adversarial Strategies"

17 / 17 papers shown

Title
Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware Christian Scano Battista Biggio Fabio Roli AAML 65 8 0 12 Jul 2022
Robust Optimal Classification Trees Against Adversarial Examples D. Vos S. Verwer AAML 31 21 0 08 Sep 2021
Adversarial Examples in Constrained Domains Ryan Sheatsley Nicolas Papernot Mike Weisman Gunjan Verma Patrick McDaniel AAML 62 24 0 02 Nov 2020
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 339 704 0 19 Oct 2020
Functionality-preserving Black-box Optimization of Adversarial Windows Malware Christian Scano Battista Biggio Giovanni Lagorio Fabio Roli A. Armando AAML 76 145 0 30 Mar 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks Francesco Croce Matthias Hein AAML 241 1,859 0 03 Mar 2020
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack Francesco Croce Matthias Hein AAML 109 490 0 03 Jul 2019
IDSGAN: Generative Adversarial Networks for Attack Generation against Intrusion Detection Zilong Lin Yong-yu Shi Zhi Xue AAML 56 267 0 06 Sep 2018
Black-box Adversarial Attacks with Limited Queries and Information Andrew Ilyas Logan Engstrom Anish Athalye Jessy Lin MLAU AAML 165 1,208 0 23 Apr 2018
On the Suitability of $L_p$ -norms for Creating and Preventing Adversarial Examples Mahmood Sharif Lujo Bauer Michael K. Reiter AAML 130 138 0 27 Feb 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples Anish Athalye Nicholas Carlini D. Wagner AAML 249 3,194 0 01 Feb 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,928 0 25 Aug 2017
Evasion Attacks against Machine Learning at Test Time Battista Biggio Igino Corona Davide Maiorca B. Nelson Nedim Srndic Pavel Laskov Giorgio Giacinto Fabio Roli AAML 163 2,160 0 21 Aug 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods Nicholas Carlini D. Wagner AAML 131 1,867 0 20 May 2017
The Space of Transferable Adversarial Examples Florian Tramèr Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML SILM 102 558 0 11 Apr 2017
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 547 5,912 0 08 Jul 2016
Practical Black-Box Attacks against Machine Learning Nicolas Papernot Patrick McDaniel Ian Goodfellow S. Jha Z. Berkay Celik A. Swami MLAU AAML 85 3,685 0 08 Feb 2016

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