| PrivLogit: Efficient Privacy-preserving Logistic Regression by Tailoring Numerical Optimizers | Nov 3, 2016 | BIG-bench Machine LearningPrivacy Preserving | —Unverified | 0 |
| Variational Bayes In Private Settings (VIPS) | Nov 1, 2016 | Bayesian InferenceData Augmentation | CodeCode Available | 0 |
| Decentralized Topic Modelling with Latent Dirichlet Allocation | Oct 5, 2016 | Privacy PreservingTopic Models | —Unverified | 0 |
| Privacy-Friendly Mobility Analytics using Aggregate Location Data | Sep 21, 2016 | Privacy PreservingTime Series | —Unverified | 0 |
| Defeating Image Obfuscation with Deep Learning | Sep 1, 2016 | Deep LearningPrivacy Preserving | —Unverified | 0 |
| Cognitive Science in the era of Artificial Intelligence: A roadmap for reverse-engineering the infant language-learner | Jul 29, 2016 | BIG-bench Machine LearningPrivacy Preserving | —Unverified | 0 |
| Bootstrap Model Aggregation for Distributed Statistical Learning | Jul 4, 2016 | modelPrivacy Preserving | —Unverified | 0 |
| A note on privacy preserving iteratively reweighted least squares | May 24, 2016 | Privacy PreservingSensitivity | —Unverified | 0 |
| DP-EM: Differentially Private Expectation Maximization | May 23, 2016 | Privacy Preserving | CodeCode Available | 0 |
| Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds | May 6, 2016 | Privacy Preserving | CodeCode Available | 1 |
