ESE Spring Seminar – “Generalization, Memorization, and Privacy in Trustworthy Machine Learning”
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Raisler Lounge (Room 225), Towne Building
220 South 33rd Street, Philadelphia, PA, United States
Machine learning is transforming numerous aspects of modern society, and its expanding use in high-stakes applications calls for responsible development. In this talk, I will present my research on the foundations and methodologies for building trustworthy ML, centered on three interconnected challenges: generalization, memorization, and privacy. First, I will show how information-theoretic tools can be […]

