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Machine Learning Security: Threat Model, Attacks, and Challenges
Journal article   Peer reviewed

Machine Learning Security: Threat Model, Attacks, and Challenges

Carson Koball, Yong Wang, Bhaskar P. Rimal and Varghese Vaidyan
Computer (Long Beach, Calif.), Vol.57(10), pp.26-35
10/2024
DOI: https://doi.org/10.1109/MC.2024.3396357
Appears in  Artificial Intelligence and Machine Learning Research

Abstract

This article investigates machine learning (ML) security, focusing on threats and attacks against ML. We have created a threat model for ML to illustrate the threat actors involved. We present a new approach to classify threats and attacks targeting ML.

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