| 0 | -- | 0 | Christine M. O'Keefe, Ross Stewart Sparks, Damien McAullay, Bronwyn Loong. Confidentialising Survival Analysis Output in a Remote Data Access System |
| 0 | -- | 0 | Daniel Kifer, Bing-Rong Lin. An Axiomatic View of Statistical Privacy and Utility |
| 0 | -- | 0 | Yuval Nardi, Stephen E. Fienberg, Robert J. Hall 0002. Achieving Both Valid and Secure Logistic Regression Analysis on Aggregated Data from Different Private Sources |
| 0 | -- | 0 | Benjamin I. P. Rubinstein, Peter L. Bartlett, Ling Huang, Nina Taft. Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning |
| 0 | -- | 0 | David R. McClure, Jerome P. Reiter. Towards Providing Automated Feedback on the Quality of Inferences from Synthetic Datasets |
| 0 | -- | 0 | Natalie Shlomo, Chris J. Skinner. Privacy Protection from Sampling and Perturbation in Survey Microdata |
| 0 | -- | 0 | Stephen E. Fienberg, Jiashun Jin. Privacy-Preserving Data Sharing in High Dimensional Regression and Classification Settings |
| 0 | -- | 0 | Aleksandra B. Slavkovic, Adam Smith. Special Issue on Statistical and Learning-Theoretic Challenges in Data Privacy |
| 0 | -- | 0 | Xiaolin Yang, Stephen E. Fienberg, Alessandro Rinaldo. Differential Privacy for Protecting Multi-dimensional Contingency Table Data: Extensions and Applications |
| 0 | -- | 0 | Larry A. Wasserman. Minimaxity, Statistical Thinking and Differential Privacy |