Keccak

By Guido Marco Bertoni, Joan Daemen, Michaël Peeters, Gilles Van Assche. International Conference on the Theory and Application of Cryptographic Techniques, 2013

326 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/86af62ff8f7f3957f6ce37e977509be3a6dec327

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

1. Patrick Longa
2. Benedikt Bünz
3. Joseph Bonneau
4. Michael Naehrig
5. Steven Goldfeder
6. Kristin E. Lauter
7. Kim Laine
8. Dan Boneh

In Computer Vision and Pattern Recognition

1. Joseph Bonneau
2. Patrick Longa
3. Michael Naehrig
4. Benedikt Bünz

Citations in the corpus

• Proofs-of-delay and randomness beacons in Ethereum (2017, background): “com/anonymous/ d30af9d7ea52c0882ed433cd675b5207 hash function [7] (now standardized as SHA-3) which costs only 40 gas, making it relatively cheap to verify by recomputation.”
• Speeding up the Number Theoretic Transform for Faster Ideal Lattice-Based Cryptography (2016, methodology): “The function SHAKE-128 is the extended output function (XOF) based on Keccak [5], which is also used to derive the 256-bit shared secret key in both Alice’s and Bob’s final steps.”