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Clément Lalanne
Clément Lalanne
在 ens-lyon.fr 的电子邮件经过验证
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On the Statistical Complexity of Estimation and Testing under Privacy Constraints
C Lalanne, A Garivier, R Gribonval
https://hal.archives-ouvertes.fr/hal-03794374, 2022
82022
Private quantiles estimation in the presence of atoms
C Lalanne, C Gastaud, N Grislain, A Garivier, R Gribonval
Information and Inference: A Journal of the IMA 12 (3), 2197-2223, 2023
72023
Private statistical estimation of many quantiles
C Lalanne, A Garivier, R Gribonval
International Conference on Machine Learning, 18399-18418, 2023
42023
Extraction of Nystagmus Patterns from Eye-Tracker Data with Convolutional Sparse Coding
C Lalanne, M Rateaux, L Oudre, MP Robert, T Moreau
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
32020
About the cost of central privacy in density estimation
C Lalanne, A Garivier, R Gribonval
Transactions on Machine Learning Research, 2023
12023
About the Cost of Global Privacy in Density Estimation
C Lalanne, A Garivier, R Gribonval
arXiv preprint arXiv:2306.14535, 2023
12023
Privately Learning Smooth Distributions on the Hypercube by Projections
C Lalanne, S Gadat
TSE Working Paper, 2024
2024
On the tradeoffs of statistical learning with privacy
C Lalanne
Ecole normale supérieure de lyon-ENS LYON, 2023
2023
Can sparsity improve the privacy of neural networks?
A Gonon, L Zheng, C Lalanne, QT Le, G Lauga, C Pouliquen
GRETSI 2023-XXIXème Colloque Francophone de Traitement du Signal et des Images, 2023
2023
Sparsity in neural networks can improve their privacy
A Gonon, L Zheng, C Lalanne, QT Le, G Lauga, C Pouliquen
arXiv preprint arXiv:2304.10553, 2023
2023
Introduction to Differential Privacy Lesson 1: The notion of Differential Privacy
C Lalanne
2020
HAL Id: hal-04062317
A Gonon, L Zheng, C Lalanne, QT Le, G Lauga, C Pouliquen
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