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Jinshuo Dong
Jinshuo Dong
Verified email at northwestern.edu - Homepage
Title
Cited by
Cited by
Year
Gaussian differential privacy
J Dong, A Roth, WJ Su
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022
3752022
Deep learning with Gaussian differential privacy
Z Bu, J Dong, Q Long, WJ Su
Harvard data science review 2020 (23), 10.1162/99608f92. cfc5dd25, 2020
1822020
Strategic classification from revealed preferences
J Dong, A Roth, Z Schutzman, B Waggoner, ZS Wu
Proceedings of the 2018 ACM Conference on Economics and Computation, 55-70, 2018
1632018
Optimal accounting of differential privacy via characteristic function
Y Zhu, J Dong, YX Wang
International Conference on Artificial Intelligence and Statistics, 4782-4817, 2022
682022
Optimal differential privacy composition for exponential mechanisms
J Dong, D Durfee, R Rogers
International Conference on Machine Learning, 2597-2606, 2020
522020
Sharp composition bounds for Gaussian differential privacy via Edgeworth expansion
Q Zheng, J Dong, Q Long, W Su
International Conference on Machine Learning, 11420-11435, 2020
182020
A Central Limit Theorem for Differentially Private Query Answering
J Dong, WJ Su, L Zhang
NeurIPS 2021, 2021
92021
Privacy amplification via iteration for shuffled and online PNSGD
M Sordello, Z Bu, J Dong
Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021
72021
Log-concave and multivariate canonical noise distributions for differential privacy
J Awan, J Dong
Advances in Neural Information Processing Systems 35, 34229-34240, 2022
42022
Equilibrium Characterization for Data Acquisition Games
J Dong, H Elzayn, S Jabbari, M Kearns, Z Schutzman
Proceedings of the Twenty-Eighth International Joint Conference on …, 2019
32019
Rejoinder: Gaussian Differential Privacy
J Dong, A Roth, WJ Su
arXiv preprint arXiv:2104.01987, 2021
22021
Gaussian Differential Privacy and Related Techniques
J Dong
University of Pennsylvania, 2020
22020
Classification Protocols with Minimal Disclosure
J Dong, J Hartline, A Vijayaraghavan
Proceedings of the 2022 Symposium on Computer Science and Law, 67-76, 2022
12022
Error-Tolerant E-Discovery Protocols
J Dong, JD Hartline, L Shan, A Vijayaraghavan
arXiv preprint arXiv:2401.17952, 2024
2024
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