Theory and Practice of Encrypted Computation
New constructions and implementations of fully homomorphic encryption, with an eye toward practical deployments in privacy-preserving computation.
Each project has its own dedicated page with a short overview and associated publications.
New constructions and implementations of fully homomorphic encryption, with an eye toward practical deployments in privacy-preserving computation.
Interactions between cryptography and machine learning, including privacy-preserving training and learning-theoretic questions.
Complexity-theoretic and cryptographic foundations of block ciphers, including assumptions, idealized models, and structural properties of permutation-based constructions.