Baby's First 100 MLSec Words
Автор: aivillage
Загружено: 2020-08-07
Просмотров: 178
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Author: Erick Galinkin
Adversarial example, Deepfake, model inversion, model theft, data poisoning - these are just some of the terms that are thrown around casually in machine learning security but often do not register for security practitioners. As models get deployed more broadly across industry, it is incumbent upon security professionals on both red and blue teams, as well as artificial intelligence researchers who want to protect their systems, to be familiar with these terms and techniques. In this talk, we survey the landscape of threats, reference proofs of concept, discuss possible mitigation strategies, and call for more interdisciplinary research between machine learning and security.
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