Adversarial computer vision: a current snapshot

T. Maliamanis; G. A. Papakostas

doi:10.1117/12.2559582

31 January 2020 Adversarial computer vision: a current snapshot

T. Maliamanis, G. A. Papakostas

Proceedings Volume 11433, Twelfth International Conference on Machine Vision (ICMV 2019); 1143328 (2020) https://doi.org/10.1117/12.2559582
Event: Twelfth International Conference on Machine Vision, 2019, Amsterdam, Netherlands

Abstract

Evolution in machine vision systems brought up lately some matters of security. Adversarial computer vision is the field that deals with these matters, producing either adversarial attack proposals or defensive strategies and techniques against them. This article is a review of computer vision security threats and defensive techniques that have been proposed by researchers until now and intents to become a guide for any researcher who is interested to work in the field of adversarial computer vision. Initially, a short history of the subject and main interests of the researchers in this field are presented. After the most important proposed attacks based on adversarial examples and their integrity are analyzed and an updated taxonomy of adversarial computer vision attacks is proposed. Finally, the defensive strategies and techniques that have been proposed are also discussed.

Citation Download Citation

T. Maliamanis and G. A. Papakostas "Adversarial computer vision: a current snapshot", Proc. SPIE 11433, Twelfth International Conference on Machine Vision (ICMV 2019), 1143328 (31 January 2020); https://doi.org/10.1117/12.2559582

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