ABCAttack : a gradient-free optimization black-box attack for fooling deep image classifiers

Cao, H., Si, C., Sun, Q. et al. (3 more authors) (2022) ABCAttack : a gradient-free optimization black-box attack for fooling deep image classifiers. Entropy, 24 (3). 412.

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2022 The Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Keywords: deep neural networks; adversarial examples; image classification; information security; black-box attack
Dates:
  • Accepted: 12 March 2022
  • Published (online): 15 March 2022
  • Published: 15 March 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 23 Mar 2022 10:33
Last Modified: 23 Mar 2022 10:33
Status: Published
Publisher: MDPI AG
Refereed: Yes
Identification Number: https://doi.org/10.3390/e24030412

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