Description
Hard learning problems (e.g., LPN, LWE and their variants) are attractive topics recently in the cryptographic community due to the numerous cryptosystems (symmetric or public-key) based on them. Normally these systems employ an instantiation of the underlying problem with a large dimension and relatively small noise to ensure the security and the high decryption success probability, respectively. In the famous BKW algorithm, Blum et al. first pointed out that balancing these two parameters plays a key role in solving these hard instances. Along their path, I will present a new idea to form better dimension-bias trade-offs by using coding theory, thereby resulting in better solutions. Lattice codes are used for solving LWE, and covering codes for LPN. Moreover, I will also present an improved method if additional algebraic structures are provided (e.g., in the reducible Ring-LPN case).
Next sessions
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Schéma de signature à clé publique : Frobénius-UOV
Speaker : Gilles Macario-Rat - Orange
L'exposé présente un schéma de signature à clé publique post-quantique inspiré du schéma UOV et introduisant un nouvel outil : les formes de Frobénius. L'accent est mis sur le rôle et les propriétés des formes de Frobénius dans ce nouveau schéma : la simplicité de description, la facilité de mise en oeuvre et le gain inédit sur les tailles de signature et de clé qui bat RSA-2048 au niveau de[…] -
Yoyo tricks with a BEANIE
Speaker : Xavier Bonnetain - Inria
TBD-
Cryptography
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Symmetrical primitive
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