Explore the concept of membership inference attacks in this 22-minute IEEE conference talk. Gain insights from experts Nicholas Carlini, Steve Chien, Milad Nasr, Shuang Song, Andreas Terzis, and Florian Tramer as they delve into the fundamental principles behind these attacks. Learn about the potential vulnerabilities in machine learning models and the implications for data privacy and security.
Overview
Syllabus
Membership inference attacks from first principles
Taught by
IEEE Symposium on Security and Privacy
Tags
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