Munich AI Lecture: A Cryptographic Perspective on Machine Learning Trustworthiness Challenges

About the lecture

For decades, cryptographic tools and models have transformed technology platforms controlled by worst-case adversaries into trustworthy platforms. In her lecture, Prof. Goldwasser will describe how the toolkit of cryptography and interactive proofs can address trust challenges in various phases of the machine learning pipeline.

The lecture also will be available via Livestream on YouTube (no registration needed).

About Prof. Goldwasser

Shafi Goldwasser is the Leighton Family Professor of Mathematics at MIT, the C. Lester Hogan Professor in Electrical Engineering and Computer Sciences at UC Berkeley (on leave), and an Emeritus Professor in the Computer Science and Applied Mathematics Department at the Weizmann Institute of Science in Israel. She is a former Director of the Simons Institute for the Theory of Computing and co-founder and Chief Scientist of Duality Technologies.

Munich AI Lectures

The Munich AI Lectures are a public lecture series that brings leading international researchers in the field of Artificial Intelligence to Munich. The goal is to make the latest knowledge understandable, stimulate societal discussion, and build bridges between science, politics, business, and the public. The Munich AI Lectures are a joint initiative of BAIOSPHERE, BAdW, bidt, Helmholtz AI, LMU, TUM, AI-HUB@LMU, ELLIS Munich Unit, relAI, MCML, MDSI at TUM, MIRMI, coordinated by the BAIOSPHERE Agency. The aim is to attract renowned AI researchers to Munich.