Strachey Lecture: Privacy, Verification, Robustness: A Cryptographer's perspective on ML

Cryptographic tools enable the safe use of technology platforms controlled by worst case computationally bounded adversaries. In this talk Professor Goldwasser will show how cryptographic paradigms and tools can be used to address trust issues in various phases of the machine learning pipeline. She will touch on approaches for achieving privacy, correctness, and robustness in presence of adversaries.