A Primer on Bayesian Neural Networks: Review and Debates
Authors: Julyan Arbel, Konstantinos Pitas, Mariia Vladimirova, Vincent Fortuin | Published: 2023-09-28
Sampling Method
Inferring Private Personal Attributes of Virtual Reality Users from Head and Hand Motion Data
Authors: Vivek Nair, Christian Rack, Wenbo Guo, Rui Wang, Shuixian Li, Brandon Huang, Atticus Cull, James F. O'Brien, Marc Latoschik, Louis Rosenberg, Dawn Song | Published: 2023-05-30 | Updated: 2023-06-10
The Curse of Recursion: Training on Generated Data Makes Models Forget
Authors: Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Yarin Gal, Nicolas Papernot, Ross Anderson | Published: 2023-05-27 | Updated: 2024-04-14
Sensitivity estimation for differentially private query processing
Authors: Meifan Zhang, Xin Liu, Lihua Yin | Published: 2023-04-19
Beyond Random Split for Assessing Statistical Model Performance
Authors: Carlos Catania, Jorge Guerra, Juan Manuel Romero, Gabriel Caffaratti, Martin Marchetta | Published: 2022-09-04
Adversarially Robust PAC Learnability of Real-Valued Functions
Authors: Idan Attias, Steve Hanneke | Published: 2022-06-26 | Updated: 2024-05-05
Differentially-Private Sublinear-Time Clustering
Authors: Jeremiah Blocki, Elena Grigorescu, Tamalika Mukherjee | Published: 2021-12-27
Secure Random Sampling in Differential Privacy
Authors: Naoise Holohan, Stefano Braghin | Published: 2021-07-21 | Updated: 2021-11-24
Approximate Newton-based statistical inference using only stochastic gradients
Authors: Tianyang Li, Anastasios Kyrillidis, Liu Liu, Constantine Caramanis | Published: 2018-05-23 | Updated: 2019-02-05