IACR Cryptol. ePrint Arch., 2024
Monchi: Multi-scheme Optimization For Collaborative Homomorphic Identification.
IACR Cryptol. ePrint Arch., 2024
Nomadic: Normalising Maliciously-Secure Distance with Cosine Similarity for Two-Party Biometric Authentication.
Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024
Funshade: Function Secret Sharing for Two-Party Secure Thresholded Distance Evaluation.
Proc. Priv. Enhancing Technol., October, 2023
Privacy-preserving biometric recognition systems with advanced cryptographic techniques. (Systèmes de reconnaissance biométrique préservant la confidentialité bassés sur des techniques cryptographiques avancées).
PhD thesis, 2023
Privacy-preserving Cosine Similarity Computation with Malicious Security Applied to Biometric Authentication.
IACR Cryptol. ePrint Arch., 2023
Grote: Group Testing for Privacy-Preserving Face Identification.
Proceedings of the Thirteenth ACM Conference on Data and Application Security and Privacy, 2023
Funshade: Functional Secret Sharing for Two-Party Secure Thresholded Distance Evaluation.
IACR Cryptol. ePrint Arch., 2022
Colmade: Collaborative Masking in Auditable Decryption for BFV-based Homomorphic Encryption.
Proceedings of the IH&MMSec '22: ACM Workshop on Information Hiding and Multimedia Security, Santa Barbara, CA, USA, June 27, 2022
Banners: Binarized Neural Networks with Replicated Secret Sharing.
IACR Cryptol. ePrint Arch., 2021
Pyfhel: PYthon For Homomorphic Encryption Libraries.
Proceedings of the WAHC '21: Proceedings of the 9th on Workshop on Encrypted Computing & Applied Homomorphic Cryptography, 2021
Practical Privacy-Preserving Face Identification Based on Function-Hiding Functional Encryption.
Proceedings of the Cryptology and Network Security - 20th International Conference, 2021
Intellectual Property Protection for Distributed Neural Networks - Towards Confidentiality of Data, Model, and Inference.
Proceedings of the 15th International Joint Conference on e-Business and Telecommunications, 2018
FHE-Compatible Batch Normalization for Privacy Preserving Deep Learning.
Proceedings of the Data Privacy Management, Cryptocurrencies and Blockchain Technology, 2018