Zero Knowledge

This week, Anna and Tarun chat with Florian Tramèr, Assistant Professor at ETH Zurich. They discuss his earlier work on side channel attacks on privacy blockchains, as well as his academic focus on Machine Learning (ML) and adversarial research. They define some key ML terms, tease out some of the nuances of ML training and models, chat zkML and other privacy environments where ML can be trained, and look at why the security around ML will be important as these models become increasingly used in production. Here are some additional links for this episode: Episode 228: Catch-up at DevConnect AMS with Tarun, Guillermo and Brendan Florian Tramèr’s Github Florian Tramèr’s Publications & Papers ETH Zurich Single Secret Leader Election by Dan Boneh, Saba Eskandarian, Lucjan Hanzlik, and Nicola Greco GasToken: A Journey Through Blockchain Resource Arbitrage by Tramèr, Daian, Breidenbach and Juels Enter the Hydra: Towards Principled Bug Bounties and Exploit-Resistant Smart Contracts by Tramèr, Daian, Breide