What Can We Learn from Cryptography to Develop More Trustworthy ML

What Can We Learn from Cryptography to Develop More Trustworthy ML

Explore the intersection of cryptography and machine learning in this invited talk from PPML 2021, where Nicolas Papernot delves into the lessons that can be drawn from cryptography to enhance the trustworthiness of machine learning systems. Gain insights into how cryptographic principles can be applied to address challenges in ML security, privacy, and reliability over the course of this hour-long presentation.