Search Results for author: Can Pouliquen

Found 3 papers, 0 papers with code

Implicit Differentiation for Hyperparameter Tuning the Weighted Graphical Lasso

no code implementations5 Jul 2023 Can Pouliquen, Paulo Gonçalves, Mathurin Massias, Titouan Vayer

We provide a framework and algorithm for tuning the hyperparameters of the Graphical Lasso via a bilevel optimization problem solved with a first-order method.

Bilevel Optimization

Sparsity in neural networks can improve their privacy

no code implementations20 Apr 2023 Antoine Gonon, Léon Zheng, Clément Lalanne, Quoc-Tung Le, Guillaume Lauga, Can Pouliquen

This article measures how sparsity can make neural networks more robust to membership inference attacks.

Sparsity in neural networks can increase their privacy

no code implementations11 Apr 2023 Antoine Gonon, Léon Zheng, Clément Lalanne, Quoc-Tung Le, Guillaume Lauga, Can Pouliquen

This article measures how sparsity can make neural networks more robust to membership inference attacks.

Cannot find the paper you are looking for? You can Submit a new open access paper.