Do you want to learn more about the security and privacy implications of machine learning? Then join us on October 12 with Florian Tramèr for an interactive session, and learn about state-of-the-art research on the darker side of machine learning!
This Open Port will provide an overview of the burgeoning field of adversarial machine learning. We will see how to fool models into misbehaving by manipulating their inputs and training examples, and how models can inadvertently leak private data. The talk will be accompanied by an interactive Colab tutorial where you will learn to attack and defend neural networks.
Florian Tramèr was a visiting researcher at Google Brain, and started as a professor at ETH in the autumn semester 2022.
We are very happy to invite you to an apéro after the session.