CIS Colloquium - Safe Machine Learning by Prof. Shafi Goldwasser

Prof. Shafi Goldwasser
Director of the Simons Institute for the Theory of Computing, and the C. Lester Hogan Professor in Electrical Engineering and Computer Sciences at UC Berkeley. RSA Professor of Electrical Engineering and Computer Science at MIT, and a professor of computer science and applied mathematics at the Weizmann Institute of Science in Israel.
Goldwasser was the recipient of ACM Turing Award for 2012
Abstract 
Cryptography and Computational Learning have shared a curious history: a scientific success for one often provided an example of an impossible task for the other. Today, the goals of the two fields are aligned.  Cryptographic models and tools can and should play a role in ensuring the safe use of machine learning.  I will discuss this development with its challenges and opportunities.

The Center for Intelligent Systems at EPFL (CIS) is a collaboration among IC, SB, and STI that brings together researchers working on different aspects of Intelligent Systems. In June 2020, CIS has launched its CIS Colloquia featuring invited notable speakers.