Description
Consider a set of $n$ players, each holding a value $x_1,...,x_n$, and an $n$-ary function $f$, specified as an arithmetic circuit over a finite field. How can the players compute $y=f(x_1,...,x_n)$ in such a way that no (small enough) set of dishonest players obtains any joint information about the input values of the honest players (beyond of what they can infer from $y$)? In this talk, we present a protocol that allows the players to compute an arbitrary function $f$, such that any subset of up to $t< n/2$ dishonest players do not obtain any information about the other players' inputs.<br/> Finally, we briefly sketch an extension of the protocol, which guarantees the correctness of the outcome even when the dishonest players misbehave in arbitrary manner.
Prochains exposés
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Module Learning With Errors and Structured Extrapolated Dihedral Cosets
Orateur : Jinwei Zheng - Télécom Paris
The Module Learning With Errors (MLWE) problem is the fundamental hardness assumption underlying the key encapsulation and signature schemes ML-KEM and ML-DSA, which have been selected by NIST for post-quantum cryptography standardization. Understanding its quantum hardness is crucial for assessing the security of these standardized schemes. Inspired by the equivalence between LWE and[…]-
Cryptography
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European Cyber Week: atelier cryptographie post-quantique
Dans la continuité des éditions 2021, 2022 et 2024, la DGA — en partenariat avec CREACH LABS et avec le soutien de l'ANSSI, de l'IRISA, de l'IRMAR et du Pôle d'Excellence Cyber — organise la 4e édition de l'atelier consacré à la cryptographie post-quantique dans le cadre de l'European Cyber Week 2026. Attention, il faut s'inscrire (gratuitement) au préalable — s'inscrire à la conférence Les[…] -
Journée post-quantique du séminaire crypto
Journée scientifique sur la cryptographie post-quantique dans la foulée de l'European Cyber Week avec des exposés plus techniques que ceux de l'ECW.