Carlo Brunetta
Showing 12 publications
Modelling Cryptographic Distinguishers Using Machine Learning
Non-Interactive, Secure Verifiable Aggregation for Decentralized, Privacy-Preserving Learning
Turn-Based Communication Channels
DEVA : Decentralized, Verifiable Secure Aggregation for Privacy-Preserving Learning
Towards Stronger Functional Signatures
Code-Based Zero Knowledge PRF Arguments
Cryptographic Tools for Privacy Preservation and Verifiable Randomness
Lattice-Based Simulatable VRFs: Challenges and Future Directions
HIKE: Walking the Privacy Trail
A Differentially Private Encryption Scheme
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