| Exposed! A Survey of Attacks on Private Data C Dwork, AD Smith, T Steinke, J Ullman Annual Review of Statistics and Its Application 4 (1), 2016 | | 2016 |
| Concentrated Differential Priacy C Dwork, GN Rothblum arXiv preprint arXiv:1603.01887, 2016 | 8 | 2016 |
| Hiding in plain sight: A survey of attacks on private data C Dwork, AD Smith, T Steinke, J Ullman Manuscript, April, 2016 | 2 | 2016 |
| Private False Discovery Rate Control C Dwork, W Su, L Zhang arXiv preprint arXiv:1511.03803, 2015 | 1 | 2015 |
| Robust traceability from trace amounts C Dwork, A Smith, T Steinke, J Ullman, S Vadhan Foundations of Computer Science (FOCS), 2015 IEEE 56th Annual Symposium on ..., 2015 | 10 | 2015 |
| The reusable holdout: Preserving validity in adaptive data analysis C Dwork, V Feldman, M Hardt, T Pitassi, O Reingold, A Roth Science 349 (6248), 636-638, 2015 | 31 | 2015 |
| Preserving statistical validity in adaptive data analysis C Dwork, V Feldman, M Hardt, T Pitassi, O Reingold, AL Roth Proceedings of the Forty-Seventh Annual ACM on Symposium on Theory of ..., 2015 | 42 | 2015 |
| Efficient algorithms for privately releasing marginals via convex relaxations C Dwork, A Nikolov, K Talwar Discrete & Computational Geometry 53 (3), 650-673, 2015 | 14 | 2015 |
| Generalization in adaptive data analysis and holdout reuse C Dwork, V Feldman, M Hardt, T Pitassi, O Reingold, A Roth Advances in Neural Information Processing Systems, 2350-2358, 2015 | 16 | 2015 |
| Pure differential privacy for rectangle queries via private partitions C Dwork, M Naor, O Reingold, GN Rothblum International Conference on the Theory and Application of Cryptology and ..., 2014 | 5 | 2014 |
| Foundations and Trends® in Theoretical Computer Science C Dwork, A Roth Foundations and Trends® in Theoretical Computer Science 9 (3-4), 211-407, 2014 | 1 | 2014 |
| The algorithmic foundations of differential privacy C Dwork, A Roth Foundations and Trends in Theoretical Computer Science 9 (3-4), 211-407, 2014 | 220 | 2014 |
| 14 Differential Privacy: A Cryptographic Approach to Private Data Analysis C Dwork Privacy, Big Data, and the Public Good: Frameworks for Engagement, 296, 2014 | 4 | 2014 |
| Using convex relaxations for efficiently and privately releasing marginals C Dwork, A Nikolov, K Talwar Proceedings of the thirtieth annual symposium on Computational geometry, 261, 2014 | 6 | 2014 |
| Analyze gauss: optimal bounds for privacy-preserving principal component analysis C Dwork, K Talwar, A Thakurta, L Zhang Proceedings of the 46th Annual ACM Symposium on Theory of Computing, 11-20, 2014 | 28 | 2014 |
| Privacy, big data, and the public good: frameworks for engagement KJ Strandburg, S Barocas, H Nissenbaum, A Acquisti, P Ohm, V Stodden, ... Cambridge University Press, 2014 | 1 | 2014 |
| The Analytic Framework for Data: A Cryptographic View C Dwork | | 2013 |
| It's not privacy, and it's not fair C Dwork, DK Mulligan Stanford Law Review Online 66, 35, 2013 | 31 | 2013 |
| Toward practicing privacy C Dwork, R Pottenger Journal of the American Medical Informatics Association 20 (1), 102-108, 2013 | 13 | 2013 |
| Learning Fair Representations. RS Zemel, Y Wu, K Swersky, T Pitassi, C Dwork ICML (3) 28, 325-333, 2013 | 39 | 2013 |
