Scalable Zero Knowledge with No Trusted Setup
By Eli Ben-Sasson, Iddo Bentov, Yinon Horesh, Michael Riabzev. 2019
252 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Privacy & Security
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Martin Jaggi
- Peter Kairouz
- Qiang Yang
- Jakub Konecný
- Peter Richtárik
- Ananda Theertha Suresh
- Jianyu Wang
- Sebastian U. Stich
In Computational Theory and Mathematics
- Carmit Hazay
- Sebastian U. Stich
- Adrià Gascón
- Jakub Konecný
- H. Brendan McMahan
- Martin Jaggi
- Daniel Ramage
- Benedikt Bünz
In Privacy & Security
- Peter Kairouz
- Badih Ghazi
- Rasmus Pagh
- Qiang Yang
- Ziteng Sun
- Adrià Gascón
- H. Brendan McMahan
- Aurélien Bellet
Citations in the corpus
- Advances and Open Problems in Federated Learning (2019, background): “If we relax the requirements for succinctness or non-interactiveness for the construction, there is a large body of constructions that achieve a wide range of efficiency trade-offs, avoid the trusted setup requirement and use more standard cryptographic assumptions [84, 397, 23, 58].”
- Poseidon: A New Hash Function for Zero-Knowledge Proof Systems (2021, methodology): “ZK-STARKs [9] is a proof system for the computational integrity, which is not vulnerable to quantum computers and does not use a trusted setup.”
- The Energy Consumption of Blockchain Technology: Beyond Myth (2020, background): “In particular, SNARKS, STARKS, and other (Zero-Knowledge-)Proofs of computational integrity which require much less verification and communication overhead on-chain seem very promising (Ben-Sasson et al. 2019).”
- Ligero: Lightweight Sublinear Arguments Without a Trusted Setup (2017, methodology): “It is also unclear how the FFT algorithms compare for characteristic 2 and prime fields, though fast implementations for the characteristic 2 case are known [31, 50] and used in designing ZKSNARKs based on IOPs [10].”
- Transparent SNARKs from DARK Compilers (2020, methodology): “We present PLONK [30] here and discuss several other proof systems [43,22,4,48,31] in the full version [19] Theorem 6 provides the main theoretical result of this work, tying together the new DARK polynomial commitment scheme (Theorem 1), the compilation”