Selected Recent Publications, 2018-2020

2020
Dwork, C., C. Ilvento, G. N. Rothblum, and P. Sur. “Abstracting fairness: oracles, metrics, and interpretability.” 1st Symposium on Foundations of Responsible Computing, 2020. Download
2019
Dwork, C., M. P. Kim, O. Reingold, G. N. Rothblum, and G. Yona. “Learning from outcomes: evidence-based rankings.” IEEE 60th Annual Symposium on Foundations of Computer Science (FOCS). IEEE, 2019. Download
2018
National Academies of Sciences, Engineering, Medicine. “Federal statistics, multiple data sources, and privacy protection: next steps.” National Academies Press (2018). Download Slides.pdf
Dwork, C., and V. Feldman. “Privacy-preserving prediction.” In Conference on Learning Theory, 1693-1702, 2018, 1693-1702. Download
Dwork, C., and C. Ilvento. “Fairness under composition.” 10th Innovations in Theoretical Computer Science Conference (ITCS 2019). ITCS, Schloss Dagstuhl-Leibniz-Centrum-für-Informatik, 2018. Download
Bun, M., C. Dwork, G. N. Rothblum, and T. Steinke. “Composable and versatile privacy via truncated cdp.” Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing, 2018, 74-86. Download
2017
Dwork, C., A. Smith, T. Steinke, and J. Ullman. “Exposed! a survey of attacks on private data.” Annual Review of Statistics and Its Application 4 (2017): 61-84. Download