Frameworks for Programmable Privacy with Ying Tong and Bryan Gillespie

Summary In this week’s episode, Anna and Guille chat with Ying Tong Lai from Geometry Research and Bryan Gillespie from Inversed Tech about their latest research and works to date. They dive into the pair’s recent work ‘SoK: Programmable Privacy in Distributed Systems’, exploring the classifications and frameworks being introduced. Here’s some additional links for this episode: SoK: Programmable Privacy in Distributed Systems by Benarroch, Gillespie, Lai and Miller Private Programmability in Zcash - Research Results and Community Discussion Zcash Halo2 GitHub Zk0x02 - An intro to Zcash and zkSNARKs - Ariel Gabizon (Zcash) Moving SNARKs from the generic to algebraic group model by Ariel Gabizon Explaining SNARKs Part I: Homomorphic Hidings by Ariel Gabizon Differential Privacy in Constant Function Market Makers by Chitra, Angeris and Evans A Note on Privacy in Constant Function Market Makers by Angeris, Evans and Chitra On Privacy Notions in Anonymous Communication by Kuhn, Beck, Schiffner, Jorswieck, and Strufe ZK Hack Montreal has been announced for Aug 9 - 11! Apply to join the hackathon here.   Episode Sponsors   Aleo is a new Layer-1 blockchain that achieves the programmability of Ethereum, the privacy of Zcash, and the scalability of a rollup.   As Aleo is gearing up for their mainnet launch in Q1, this is an invitation to be part of a transformational ZK journey.   Dive deeper and discover more about Aleo at http://aleo.org/.   If you like what we do: Find all our links here! @ZeroKnowledge | Linktree Subscribe to our podcast newsletter Follow us on Twitter @zeroknowledgefm Join us on Telegram Catch us on YouTube Read transcript

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This episode was published on July 3, 2024.

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