期刊
IEEE SECURITY & PRIVACY
卷 17, 期 2, 页码 31-38出版社
IEEE COMPUTER SOC
DOI: 10.1109/MSEC.2018.2888779
关键词
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Adversarial attacks have exposed the unreliability of machine-learning (ML) models for decision making in autonomous agents. This article discusses recent research for ML model assurance in the face of adversarial attacks.
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