Time-memory trade-off in Toom-Cook multiplication: an application to module-lattice based cryptography
Authors: Jose Maria Bermudo Mera, Angshuman Karmakar and Ingrid Verbauwhede
Accepted paper for the TCHES 2020 conference
Latest Papers
Privacy-Enhanced Machine Learning with Functional Encryption
Authors: Tilen Marc, Miha Stopar, Jan Hartman, Manca Bizjak and Jolanda Modic
PhD thesis: Public-Key Encryption, Revisited: Tight Security and Richer Functionalities
Author: Romain Gay
Abstract.
Decentralizing Inner-Product Functional Encryption
Authors: Michel Abdalla, Fabrice Benhamouda, Markulf Kohlweiss, Hendrik Waldner
Abstract.
Unbounded Inner-Product Functional Encryption with Succinct Keys
Authors: Edouard Dufour-Sans and David Pointcheval
Abstract.
Obfuscating Simple Functionalities from Knowledge assumptions
Authors: Ward Beullens and Hoeteck Wee
Abstract.
emmy: Trust-Enhancing Authentication Library
Authors: Miha Stopar, Manca Bizjak, Jolanda Modic, Jan Hartman, Anže Žitnik, and Tilen Marc
Abstract.
Efficient Function-Hiding Functional Encryption: From Inner-Products to Orthogonality
Authors: Manuel Barbosa, Dario Catalano, Azam Soleimanian and Bogdan Warinschi
Abstract.
We construct functional encryption (FE) schemes for the orthogonality (OFE) relation where each ciphertext encrypts some vector x and each decryption key, associated to some vector y, allows to determineif x isorthogonalto y ornot. Motivated by compelling applications, we aim at schemes which are function hidding, i.e. y is not leaked.
Pushing the speed limit of constant-time discrete Gaussian sampling. A case study on Falcon
Authors: Angshuman Karmakar, Sujoy Sinha Roy, Ingrid Verbauwhede, Frederik Vercauteren
Paper: Public Key Compression for Constrained Linear Signature Schemes
Authors: Ward Beullens and Bart Preneel and Alan Szepieniec