- 08:30 AM Opening by Antti Honkela
- 08:35 AM Deep Learning with Differential Privacy: Two Approaches by Ilya Mironov
- 09:20 AM Priv'IT: Private and Sample Efficient Identity Testing by Gautam Kamath
- 09:40 AM Differentially Private Learning of Undirected Graphical Models using CGMs by Garrett Bernstein
- 10:00 AM Coffee break & Posters 1
- 10:30 AM Differentially Private Submodular Maximization: Data Summarization in Disguise by Marko Mitrovic
- 10:50 AM The Hybrid Model for Privacy and its Benefits by Aleksandra Korolova
- 11:10 AM Posters 2
- 12:00 PM Lunch
- 02:00 PM Privacy-preserving machine learning and data mining using the Sharemind platform by Peeter Laud
- 02:45 PM Privacy-preserving entity resolution and logistic regression on encrypted data by Giorgio Patrini
- 03:05 PM Coffee break & Posters 3
- 03:30 PM Detecting Causative Attacks using Data Provenance by Bryant Chen
- 03:50 PM Panel discussion Borja Balle, Aleksandra Korolova, Peeter Laud, Jun Sakuma