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
-
Oblivious Transfer from Zero-Knowledge Proofs (or how to achieve round-optimal quantum Oblivious Transfer without structure)
Speaker : Léo Colisson - Université Grenoble Alpes
We provide a generic construction to turn any classical Zero-Knowledge (ZK) protocol into a composable oblivious transfer (OT) protocol (the protocol itself involving quantum interactions), mostly lifting the round-complexity properties and security guarantees (plain-model/statistical security/unstructured functions…) of the ZK protocol to the resulting OT protocol. Such a construction is unlikely[…]-
Cryptography
-