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Threat Assessment in Machine Learning based Systems. (arXiv:2207.00091v1 [cs.CR])
July 4, 2022, 1:20 a.m. | Lionel Nganyewou Tidjon, Foutse Khomh
cs.CR updates on arXiv.org arxiv.org
Machine learning is a field of artificial intelligence (AI) that is becoming
essential for several critical systems, making it a good target for threat
actors. Threat actors exploit different Tactics, Techniques, and Procedures
(TTPs) against the confidentiality, integrity, and availability of Machine
Learning (ML) systems. During the ML cycle, they exploit adversarial TTPs to
poison data and fool ML-based systems. In recent years, multiple security
practices have been proposed for traditional systems but they are not enough to
cope with …
assessment machine machine learning systems threat threat assessment
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