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:

ZK Whiteboard Sessions – as part of ZK Hack and powered by Polygon – a new series of educational videos that will help you get onboarded into the concepts and terms that we talk about on the ZK front.

ZK Jobs Board – has a fresh batch of open roles from ZK-focused projects. Find your next opportunity working in ZK!

Today’s episode is sponsored by Mina Protocol.

With Mina’s zero knowledge smart contracts – or zkApps – developers can create apps that offer privacy, security, and verifiability for your users.

Head to minaprotocol.com/zkpodcast to learn about their developer bootcamps and open grants.

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Episode 246: Adversarial Machine Learning Research with Florian Tramèr 01:06:44 Share

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Episode 246: Adversarial Machine Learning Research with Florian Tramèr