BLAKE2: Simpler, Smaller, Fast as MD5

By Jean-Philippe Aumasson, Samuel Neves, Zooko Wilcox-O'Hearn, Christian Winnerlein. International Conference on Applied Cryptography and Network Security, 2013

356 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Signal Processing

View Paper: https://www.semanticscholar.org/paper/91cade2d5641e72dc88d30883215ef1a526faa57

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. Peter Schwabe
2. Tanja Lange
3. Daniel J. Bernstein
4. Ruben Niederhagen
5. Tiago M. Fernández-Caramés
6. Paula Fraga-Lamas
7. Andreas Hülsing
8. George Danezis

In Signal Processing

1. Tiago M. Fernández-Caramés
2. Paula Fraga-Lamas

Citations in the corpus

• SPHINCS: Practical Stateless Hash-Based Signatures (2015, methodology): “Of course, there is no logical connection between the PRF security of this cipher and (e.g.) second-preimage resistance, but designers use the same techniques to build E for either context: consider, for example, the reuse of the Salsa20 permutation in the Rumba20 [5] compression function, the reuse”
• Towards Post-Quantum Blockchain: A Review on Blockchain Cryptography Resistant to Quantum Computing Attacks (2020, methodology): “In the case of [211], the authors propose to improve Bit-coin (which uses the Koblitz curve secp256k1 and SHA-256 during the ECDSA signature process) with TESLA# [212], which makes use of BLAKE2 [213] and SHA-3 [214].”