On the Economics of Adversarial Machine Learning

Given the widespread deployment of machine learning algorithms, the security of these algorithms and thus, the field of adversarial machine learning gained popularity in the research community. In this article, we loosen several unrealistic restrictions found in prior art and bring economical-inspir...

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Bibliographic Details

Published in:	IEEE transactions on information forensics and security Vol. 19; pp. 4670 - 4685
Main Authors:	Merkle, Florian, Samsinger, Maximilian, Schottle, Pascal, Pevny, Tomas
Format:	Journal Article
Language:	English
Published:	New York IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adversarial machine learning Algorithms Computational modeling Data points economics of information security Game theory Games Machine learning Perturbation methods Robustness Training
ISSN:	1556-6013, 1556-6021
Online Access:	Get full text
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