Raef Bassily and Yoav Freund. Typical stability. arXiv preprint arXiv:1604.03336, 2016.
Raef Bassily, Adam Groce, Jonathan Katz, and Adam Smith. Coupled-worlds privacy: Exploiting adversarial uncertainty in statistical data privacy. In IEEE Symposium on Foundations of Computer Science, pages 439-448, 2013.
Raef Bassily, Kobbi Nissim, Adam Smith, Thomas Steinke, Uri Stemmer, and Jonathan Ullman. Algorithmic stability for adaptive data analysis. SIAM Journal on Computing, 2021.
Raghav Bhaskar, Abhishek Bhowmick, Vipul Goyal, Srivatsan Laxman, and Abhradeep Thakurta. Noiseless database privacy. In International Conference on the Theory and Application of Cryptology and Information Security, pages 215-232. Springer, 2011.
Guy Blanc. Subsampling suffices for adaptive data analysis. In Proceedings of the 55th Annual ACM Symposium on Theory of Computing, pages 999-1012, 2023.
Olivier Bousquet and André Elisseeff. Stability and generalization. The Journal of Machine Learning Research, 2:499-526, 2002.
Mark Bun and Thomas Steinke. Concentrated differential privacy: Simplifications, extensions, and lower bounds. In Theory of Cryptography Conference, pages 635-658. Springer, 2016.
Konstantinos Chatzikokolakis, Miguel E Andrés, Nicolás Emilio Bordenabe, and Catuscia Palamidessi. Broadening the scope of differential privacy using metrics. In Privacy Enhancing Technologies: 13th International Symposium, PETS 2013, Bloomington, IN, USA, July 10-12, 2013. Proceedings 13, pages 82-102. Springer, 2013.
Elbert Du and Cynthia Dwork. Improved generalization guarantees in restricted data models. In 3rd Symposium on Foundations of Responsible Computing, 2022.
John C. Duchi, Saminul Haque, and Rohith Kuditipudi. A fast algorithm for adaptive private mean estimation. ArXiv, abs/2301.07078, 2023.
Cynthia Dwork and Guy N Rothblum. Concentrated differential privacy. arXiv preprint arXiv:1603.01887, 2016.
Cynthia Dwork, Frank McSherry, Kobbi Nissim, and Adam Smith. Calibrating noise to sensitivity in private data analysis. In Theory of Cryptography Conference, pages 265-284. Springer, 2006.
Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Aaron Leon Roth. Preserving statistical validity in adaptive data analysis. In ACM Symposium on Theory of Computing, pages 117-126, 2015.
Hamid Ebadi, David Sands, and Gerardo Schneider. Differential privacy: Now it's getting personal. *Acm Sigplan Notices*, 50(1):69-81, 2015.
Sam Elder. Challenges in bayesian adaptive data analysis. arXiv preprint arXiv:1604.02492, 2016.
Vitaly Feldman and Thomas Steinke. Generalization for adaptively-chosen estimators via stable median. In Conference on Learning Theory, pages 728-757. PMLR, 2017.
Vitaly Feldman and Thomas Steinke. Calibrating noise to variance in adaptive data analysis. In Conference On Learning Theory, pages 535-544. PMLR, 2018.
Vitaly Feldman and Tijana Zrnic. Individual privacy accounting via a Renyi filter. Advances in Neural Information Processing Systems, 34:28080-28091, 2021.
Johannes Gehrke, Michael Hay, Edward Lui, and Rafael Pass. Crowd-blending privacy. In Annual Cryptology Conference, pages 479-496. Springer, 2012.
Andrew Gelman and Eric Loken. The statistical crisis in science. American Scientist, 102(6):460, 2014.
Arpita Ghosh and Aaron Roth. Selling privacy at auction. In ACM Conference on Electronic Commerce, pages 199-208, 2011.