A Survey of Black-Box Adversarial Attacks on Computer Vision Models

A Survey of Black-Box Adversarial Attacks on Computer Vision Models

3 December 2019

Siddhant Bhambri

Arun Balaji Buduru

Papers citing "A Survey of Black-Box Adversarial Attacks on Computer Vision Models"

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Title
Black-Box Access is Insufficient for Rigorous AI Audits Stephen Casper Carson Ezell Charlotte Siegmann Noam Kolt Taylor Lynn Curtis ... Michael Gerovitch David Bau Max Tegmark David M. Krueger Dylan Hadfield-Menell AAML 34 78 0 25 Jan 2024
Distributed Black-box Attack: Do Not Overestimate Black-box Attacks Han-Ching Wu Sareh Rowlands Johan Wahlstrom MLAU AAML 37 0 0 28 Oct 2022
Pixle: a fast and effective black-box attack based on rearranging pixels Jary Pomponi Simone Scardapane A. Uncini AAML 22 31 0 04 Feb 2022
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 356 0 04 Oct 2021
Distributionally Robust Multi-Output Regression Ranking Shahabeddin Sotudian Ruidi Chen I. Paschalidis OOD 25 2 0 27 Sep 2021
Black-box adversarial attacks using Evolution Strategies Hao Qiu Leonardo Lucio Custode Giovanni Iacca AAML 30 18 0 30 Apr 2021
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 29 48 0 19 Oct 2020
Adversarial Example Games A. Bose Gauthier Gidel Hugo Berrard Andre Cianflone Pascal Vincent Simon Lacoste-Julien William L. Hamilton AAML GAN 33 51 0 01 Jul 2020
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