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 | 8 | 2022 |
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 | 7 | 2023 |
Private statistical estimation of many quantiles C Lalanne, A Garivier, R Gribonval International Conference on Machine Learning, 18399-18418, 2023 | 4 | 2023 |
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 | 3 | 2020 |
About the cost of central privacy in density estimation C Lalanne, A Garivier, R Gribonval Transactions on Machine Learning Research, 2023 | 1 | 2023 |
About the Cost of Global Privacy in Density Estimation C Lalanne, A Garivier, R Gribonval arXiv preprint arXiv:2306.14535, 2023 | 1 | 2023 |
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 | | |