Adversarial Machine Learning

descriptionPublicationkeyboard_double_arrow_right Article 01 Sep 2011Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Internet Computing, volume 15, pages 4-6 (issn: 1089-7801,

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Authors: J. D. Tygar;

doi: 10.1109/mic.2011.112

Adversarial Machine Learning

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Abstract

The author briefly introduces the emerging field of adversarial machine learning, in which opponents can cause traditional machine learning algorithms to behave poorly in security applications. He gives a high-level overview and mentions several types of attacks, as well as several types of defenses, and theoretical limits derived from a study of near-optimal evasion.

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