Learning and Privacy
Florian and Nicholas discuss the intriguing duality between human learning and machine privacy, questioning the necessity of memorization for effective learning. They delve into the role of semantics in human understanding and the existence of adversarial examples in domains where human judgment falls short.In this clip
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Machine Learning Street Talk (MLST)
#040 - Adversarial Examples (Dr. Nicholas Carlini, Dr. Wieland Brendel, Florian Tramèr)
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