Pierre-Emmanuel Clet

According to our database, Pierre-Emmanuel Clet authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Contributions to the optimization of TFHE's functional bootstrapping for the evaluation of non-polynomial operators. (Contributions à l'optimisation du bootstrapping fonctionnel de TFHE pour l'évaluation d'opérateurs non polynomiaux).

Pierre-Emmanuel Clet

PhD thesis, 2024

2023

At Last! A Homomorphic AES Evaluation in Less than 30 Seconds by Means of TFHE.

Daphné Trama, Pierre-Emmanuel Clet, Aymen Boudguiga, Renaud Sirdey

IACR Cryptol. ePrint Arch., 2023

Optimized stream-cipher-based transciphering by means of functional-bootstrapping.

Adda-Akram Bendoukha, Pierre-Emmanuel Clet, Aymen Boudguiga, Renaud Sirdey

IACR Cryptol. ePrint Arch., 2023

A Homomorphic AES Evaluation in Less than 30 Seconds by Means of TFHE.

Daphné Trama, Pierre-Emmanuel Clet, Aymen Boudguiga, Renaud Sirdey

Proceedings of the 11th Workshop on Encrypted Computing & Applied Homomorphic Cryptography, 2023

Building Blocks for LSTM Homomorphic Evaluation with TFHE.

Daphné Trama, Pierre-Emmanuel Clet, Aymen Boudguiga, Renaud Sirdey

Proceedings of the Cyber Security, Cryptology, and Machine Learning, 2023

ComBo: A Novel Functional Bootstrapping Method for Efficient Evaluation of Nonlinear Functions in the Encrypted Domain.

Pierre-Emmanuel Clet, Aymen Boudguiga, Renaud Sirdey, Martin Zuber

Proceedings of the Progress in Cryptology - AFRICACRYPT 2023, 2023

2022

Putting up the swiss army knife of homomorphic calculations by means of TFHE functional bootstrapping.

Pierre-Emmanuel Clet, Martin Zuber, Aymen Boudguiga, Renaud Sirdey, Cédric Gouy-Pailler

IACR Cryptol. ePrint Arch., 2022

2021

Privacy Preserving Services for Intelligent Transportation Systems with Homomorphic Encryption.

Aymen Boudguiga, Oana Stan, Abdessamad Fazzat, Houda Labiod, Pierre-Emmanuel Clet

Proceedings of the 7th International Conference on Information Systems Security and Privacy, 2021

BFV, CKKS, TFHE: Which One is the Best for a Secure Neural Network Evaluation in the Cloud?

Pierre-Emmanuel Clet, Oana Stan, Martin Zuber

Proceedings of the Applied Cryptography and Network Security Workshops, 2021