Publications
21 results
21 results
2023
Dick, T., C. Dwork, M. Kearns, T. Liu, A. Roth, G. Vietri, and S.Wu. “Confidence-Ranked Reconstruction of Census Microdata from Published Statistics.”. Proceedings of the National Academy of Sciences.
Dick, T., C. Dwork, M. Kearns, T. Liu, A. Roth, G. Vietri, and S.Wu. “Confidence-Ranked Reconstruction of Census Microdata from Published Statistics.”. Proceedings of the National Academy of Sciences.
Dwork, C., D. Lee, H. Lin, and P. Tankala. “From Psuedorandomness to Multi-Group Fairness and Back”. Thirty-Sixth Annual Conference on Learning Theory (PMLR).
Dwork, C., D. Lee, H. Lin, and P. Tankala. “From Psuedorandomness to Multi-Group Fairness and Back”. Thirty-Sixth Annual Conference on Learning Theory (PMLR).
Dwork, C., O. Reingold, and G. N. Rothblum. “From the Real towards the Ideal: Risk Prediction in a Better World”. In 4th Symposium on Foundations of Responsible Computing (FORC 2023). Schloss Dagstuhl-Leibniz-Zentrum für Informatik, 2023.
Dwork, C., O. Reingold, and G. N. Rothblum. “From the Real towards the Ideal: Risk Prediction in a Better World”. In 4th Symposium on Foundations of Responsible Computing (FORC 2023). Schloss Dagstuhl-Leibniz-Zentrum für Informatik, 2023.
2021
Dwork, C., M. P. Kim, O. Reingold, G. N. Rothblum, and G. Yona. “Outcome Indistinguishability”. Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing. ACM, 2021.
Dwork, C., M. P. Kim, O. Reingold, G. N. Rothblum, and G. Yona. “Outcome Indistinguishability”. Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing. ACM, 2021.
2020
Dwork, C., C. Ilvento, G. N. Rothblum, and P. Sur. “Abstracting Fairness: Oracles, Metrics, and Interpretability”. 1st Symposium on Foundations of Responsible Computing.
Dwork, C., C. Ilvento, G. N. Rothblum, and P. Sur. “Abstracting Fairness: Oracles, Metrics, and Interpretability”. 1st Symposium on Foundations of Responsible Computing.
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.
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.
2018
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.
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.
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.
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.
Dwork, C., and V. Feldman. “Privacy-Preserving Prediction.”. In Conference on Learning Theory, 1693-1702.
Dwork, C., and V. Feldman. “Privacy-Preserving Prediction.”. In Conference on Learning Theory, 1693-1702.
National Academies of Sciences, Medicine, Engineering. “Federal Statistics, Multiple Data Sources, and Privacy Protection: Next Steps.”. National Academies Press, 2018.
National Academies of Sciences, Medicine, Engineering. “Federal Statistics, Multiple Data Sources, and Privacy Protection: Next Steps.”. National Academies Press, 2018.
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.
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.
2015
Dwork, C., F. Feldman, M. Hardt, T. Pitassi, O. Reingold, and A. L. Roth. “Preserving Statistical Validity in Adaptive Data Analysis”. Proceedings of the 47th Annual ACM Symposium on Theory of Computing. STOC , 2015.
Dwork, C., F. Feldman, M. Hardt, T. Pitassi, O. Reingold, and A. L. Roth. “Preserving Statistical Validity in Adaptive Data Analysis”. Proceedings of the 47th Annual ACM Symposium on Theory of Computing. STOC , 2015.