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The University of Virginia's cs6501 seminar course, coordinated by David Evans in Spring 2018, covers topics in security and privacy of machine learning including adversarial attacks, differential privacy, and poisoning. The course materials explore methods like clean label poisoning attacks and watermarking techniques to understand vulnerabilities in machine learning models.
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Sources
arxiv.org shapes more of what AI says about SecML than any other source, at 67% of its citations.
tpointtech.com
