Follow
Martin Zuber
Martin Zuber
CEA, LIST
Verified email at cea.fr
Title
Cited by
Cited by
Year
Efficient homomorphic evaluation of k-NN classifiers.
M Zuber, R Sirdey
Proc. Priv. Enhancing Technol. 2021 (2), 111-129, 2021
232021
SPEED: secure, PrivatE, and efficient deep learning
A Grivet Sébert, R Pinot, M Zuber, C Gouy-Pailler, R Sirdey
Machine Learning 110, 675-694, 2021
202021
Towards real-time hidden speaker recognition by means of fully homomorphic encryption
M Zuber, S Carpov, R Sirdey
International Conference on Information and Communications Security, 403-421, 2020
182020
Putting up the swiss army knife of homomorphic calculations by means of TFHE functional bootstrapping
PE Clet, M Zuber, A Boudguiga, R Sirdey, C Gouy-Pailler
Cryptology ePrint Archive, 2022
162022
BFV, CKKS, TFHE: Which one is the best for a secure neural network evaluation in the cloud?
PE Clet, O Stan, M Zuber
Applied Cryptography and Network Security Workshops: ACNS 2021 Satellite …, 2021
152021
Efficient and accurate homomorphic comparisons
O Chakraborty, M Zuber
Proceedings of the 10th Workshop on Encrypted Computing & Applied …, 2022
92022
A Secure Federated Learning: Analysis of Different Cryptographic Tools
O Stan, V Thouvenot, A Boudguiga, K Kapusta, M Zuber, R Sirdey
SECRYPT, 2022
42022
ComBo: A Novel Functional Bootstrapping Method for Efficient Evaluation of Nonlinear Functions in the Encrypted Domain
PE Clet, A Boudguiga, R Sirdey, M Zuber
International Conference on Cryptology in Africa, 317-343, 2023
32023
Practical Multi-Key Homomorphic Encryption for More Flexible and Efficient Secure Federated Average Aggregation
A Pedrouzo-Ulloa, A Boudguiga, O Chakraborty, R Sirdey, O Stan, ...
2023 IEEE International Conference on Cyber Security and Resilience (CSR …, 2023
22023
When approximate design for fast homomorphic computation provides differential privacy guarantees
AG Sébert, M Zuber, O Stan, R Sirdey, C Gouy-Pailler
arXiv preprint arXiv:2304.02959, 2023
12023
Practical Multi-Key Homomorphic Encryption for Efficient Secure Federated Average Aggregation
A Pedrouzo-Ulloa, A Boudguiga, O Chakraborty, R Sirdey, O Stan, ...
Poster presentation at the 6th HomomorphicEncryption. org Standards Meeting, 2023
12023
Contributions to data confidentiality in machine learning by means of homomorphic encryption
M Zuber
Université Paris-Saclay, 2020
12020
Method for multi-user confidential querying of the presence of a record in a database
A Boudguiga, R Sirdey, S Oana, M Zuber
US Patent App. 18/298,180, 2024
2024
A Probabilistic Design for Practical Homomorphic Majority Voting with Intrinsic Differential Privacy
A Grivet Sébert, M Zuber, O Stan, R Sirdey, C Gouy-Pailler
Proceedings of the 11th Workshop on Encrypted Computing & Applied …, 2023
2023
Practical Homomorphic Aggregation for Byzantine ML
A Choffrut, R Guerraoui, R Pinot, R Sirdey, J Stephan, M Zuber
arXiv preprint arXiv:2309.05395, 2023
2023
The Alliance of HE and TEE to Enhance their Performance and Security
S D'Antonio, G Lazarou, G Mazzeo, O Stan, M Zuber, I Tsavdaridis
2023 IEEE International Conference on Cyber Security and Resilience (CSR …, 2023
2023
A Practical and Scalable Privacy-preserving Framework
N Avgerinos, S D'Antonio, I Kamara, C Kotselidis, I Lazarou, T Mannarino, ...
2023 IEEE International Conference on Cyber Security and Resilience (CSR …, 2023
2023
When approximate design for fast homomorphic computation provides differential privacy guarantees
A Grivet Sébert, M Zuber, O Stan, R Sirdey, C Gouy-Pailler
arXiv e-prints, arXiv: 2304.02959, 2023
2023
Legal, ethics, and user requirements, technical specifications and ENCRYPT architecture: Interim report
G Lazarou, S Diamantopoulos, J Lloyd, I Kamara, L Dalla Corte, E Kosta, ...
European Commission, 2023
2023
Actes de la conférence CAID 2021 (Conference on Artificial Intelligence for Defense)
A Dey, B Costé, É Totel, A Bécue, E Aguas, A Lambert, G Blanc, H Debar, ...
2021
The system can't perform the operation now. Try again later.
Articles 1–20