Papers

Dynamic Decentralized Functional Encryption
with Jérémy Chotard, Romain Gay, Duong Hieu Phan, and David Pointcheval.
In Advances in Cryptology - Proceedings of CRYPTO '20 -- Part I, Springer, vol. 12170, pp. 747-775, 2020.
Link   
Previously Multi-Client Functional Encryption with Repetition for Inner Product (Link )
Partially Encrypted Machine Learning using Functional Encryption
with Francis Bach, Romain Gay, David Pointcheval, and Theo Ryffel.
In Advances in Neural Information Processing Systems (NeurIPS 2019), 2019.
Link    Code
Previously Reading in the Dark: Classifying Encrypted Digits with Functional Encryption (Link )
Unbounded Inner-Product Functional Encryption, with Succinct Keys
with David Pointcheval.
In Conference on Applied Cryptography and Network Security (ACNS '19), Springer, 2019.
Link   
Decentralized Multi-Client Functional Encryption for Inner Product
with Jérémy Chotard, Romain Gay, Duong Hieu Phan, and David Pointcheval.
In Advances in Cryptology - Proceedings of ASIACRYPT '18, Springer, vol. 11273, pp. 703-732, 2018.
Link   

Talks

Dynamic Decentralized Functional Encryption
at CRYPTO'20.
Presentation    Slides
Partially Encrypted Machine Learning using Functional Encryption
at PPML '19 (CRYPTO'19 workshop).
Slides
Unbounded Inner-Product Functional Encryption with Succinct Keys
at ACNS '19.
Slides
Inner Product Functional Encryption
at ENS Crypto Team working group.
Slides

Preprints

OCEAN: A Built-In Replacement for Mining Pools
with Raymond Chee, Kartik Chitturi, and Kyle Soska.
Technical report, IACR ePrint Archive, no. 2019/1081, 2019.
Link