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

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