Anonymisation des données / Privacy#
(à venir)
Lectures
A General Survey Of Privacy-Preserving Data Mining Models And Algorithms
Privacy Preserving Data Mining, Cynthia Dwork, Frank McSherry, concept de -differential privacy (version longue, Privacy Preserving Data Mining)
Preserving Privacy of Continuous High-dimensional Data with Minimax Filters
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo
Differential Privacy for Bayesian Inference through Posterior Sampling∗
A General Approach to Adding Differential Privacy to Iterative Training Procedures
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
Articles
Tables rondes
Lectures - autodestruction
Données résiduelles dans les modèles
Algorithmes
Modules
AGD Tools : ce module s’accompagne d’un wiki et de notebooks.
whitenoise, WhiteNoise Core Differential Privacy Library Python Bindings