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Topics covered in this episode:
* 1:42 Introduction to Zero-Knowledge Proofs.
* 7:07 What MPC in the head achieves, at a high level.
* 14:35 The efficiency of MPC in the head.
* 15:56 What is “MPC” anyways?
* 18:37 How MPC in the head works, at a high level.
* 20:38 An overview of the IKOS paper: the one that started it all.
* https://web.cs.ucla.edu/~rafail/PUBLIC/77.pdf (2007)
* “Zero-Knowledge from Secure Multiparty Computation” - Yuval Ishai, Eyal Kushilevitz, Rafail Ostrovsky, and Amit Sahai
* 31:05 The ZKBoo paper: making MPC in the head practical.
* https://eprint.iacr.org/2016/163
* “ZKBoo: Faster Zero-Knowledge for Boolean Circuits“ - Irene Giacomelli, Jesper Madsen, and Claudio Orlandi
* My implementation of ZKBoo: https://github.com/cronokirby/boo-hoo
* 41:22 The KKW paper: adding pre-processing to simulated MPC.
* https://eprint.iacr.org/2018/475
* “Improved Non-Interactive Zero Knowledge with Applications to Post-Quantum Signatures” - Jonathan Katz, Vladimir Kolesnikov, and Xiao Wang
* 48:32 The core idea of the Limbo paper: verifying execution traces.
* https://eprint.iacr.org/2021/215
* “Limbo: Efficient Zero-knowledge MPCitH-based Arguments“ - Cyprien Delpech de Saint Guilhem, Emmanuela Orsini, and Titouan Tanguy
* 51:07 What distinguishes Ligero from other MPC in the head systems: Sqrt(N) complexity.
* https://acmccs.github.io/papers/p2087-amesA.pdf
* “Ligero: Lightweight Sublinear Arguments without a trusted setup” - Scott Ames, Carmit Hazy, Yuval Ishai, an dMuthuramakrishnan Venkitasubramaniam
* 54:10 The “Rambo” paper: how to add RAM to ZK proof programs.
* https://eprint.iacr.org/2022/313.pdf
* “Efficient Proof of RAM Programs from Any Public-CoinZero-Knowledge System” - Cyprien Delpech de Saint Guilhem, Emmanuela Orsini, Titouan Tanguy, and Michiel Verbauwhede
* 1:03:10 My project, Rem-Boo
* https://github.com/cronokirby/rem-boo
If you enjoyed this episode, and want to get notified when the next one arrives, feel free to subscribe:
If you want even more updates, feel free to follow me on Twitter.
Topics covered in this episode:
* 1:42 Introduction to Zero-Knowledge Proofs.
* 7:07 What MPC in the head achieves, at a high level.
* 14:35 The efficiency of MPC in the head.
* 15:56 What is “MPC” anyways?
* 18:37 How MPC in the head works, at a high level.
* 20:38 An overview of the IKOS paper: the one that started it all.
* https://web.cs.ucla.edu/~rafail/PUBLIC/77.pdf (2007)
* “Zero-Knowledge from Secure Multiparty Computation” - Yuval Ishai, Eyal Kushilevitz, Rafail Ostrovsky, and Amit Sahai
* 31:05 The ZKBoo paper: making MPC in the head practical.
* https://eprint.iacr.org/2016/163
* “ZKBoo: Faster Zero-Knowledge for Boolean Circuits“ - Irene Giacomelli, Jesper Madsen, and Claudio Orlandi
* My implementation of ZKBoo: https://github.com/cronokirby/boo-hoo
* 41:22 The KKW paper: adding pre-processing to simulated MPC.
* https://eprint.iacr.org/2018/475
* “Improved Non-Interactive Zero Knowledge with Applications to Post-Quantum Signatures” - Jonathan Katz, Vladimir Kolesnikov, and Xiao Wang
* 48:32 The core idea of the Limbo paper: verifying execution traces.
* https://eprint.iacr.org/2021/215
* “Limbo: Efficient Zero-knowledge MPCitH-based Arguments“ - Cyprien Delpech de Saint Guilhem, Emmanuela Orsini, and Titouan Tanguy
* 51:07 What distinguishes Ligero from other MPC in the head systems: Sqrt(N) complexity.
* https://acmccs.github.io/papers/p2087-amesA.pdf
* “Ligero: Lightweight Sublinear Arguments without a trusted setup” - Scott Ames, Carmit Hazy, Yuval Ishai, an dMuthuramakrishnan Venkitasubramaniam
* 54:10 The “Rambo” paper: how to add RAM to ZK proof programs.
* https://eprint.iacr.org/2022/313.pdf
* “Efficient Proof of RAM Programs from Any Public-CoinZero-Knowledge System” - Cyprien Delpech de Saint Guilhem, Emmanuela Orsini, Titouan Tanguy, and Michiel Verbauwhede
* 1:03:10 My project, Rem-Boo
* https://github.com/cronokirby/rem-boo
If you enjoyed this episode, and want to get notified when the next one arrives, feel free to subscribe:
If you want even more updates, feel free to follow me on Twitter.