| Gaussian differential privacy J Dong, A Roth, WJ Su Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2021 | 240 | 2021 |
| 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 | 170 | 2020 |
| 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 | 153 | 2018 |
| Gaussian differential privacy J Dong, A Roth, WJ Su Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022 | 88 | 2022 |
| Optimal accounting of differential privacy via characteristic function Y Zhu, J Dong, YX Wang International Conference on Artificial Intelligence and Statistics, 4782-4817, 2022 | 58 | 2022 |
| Optimal differential privacy composition for exponential mechanisms J Dong, D Durfee, R Rogers International Conference on Machine Learning, 2597-2606, 2020 | 50 | 2020 |
| 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 | 17 | 2020 |
| Gaussian differential privacy. arXiv J Dong, A Roth, WJ Su arXiv preprint arXiv:1905.02383, 2019 | 13 | 2019 |
| Su. 2019. Gaussian differential privacy J Dong, A Roth, J Weijie arXiv preprint arXiv:1905.02383, 2019 | 11 | 2019 |
| A Central Limit Theorem for Differentially Private Query Answering J Dong, WJ Su, L Zhang NeurIPS 2021, 2021 | 8 | 2021 |
| 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 | 7 | 2021 |
| Log-concave and multivariate canonical noise distributions for differential privacy J Awan, J Dong Advances in Neural Information Processing Systems 35, 34229-34240, 2022 | 4 | 2022 |
| 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 | 3 | 2019 |
| Rejoinder: Gaussian Differential Privacy J Dong, A Roth, WJ Su arXiv preprint arXiv:2104.01987, 2021 | 2 | 2021 |
| Gaussian Differential Privacy and Related Techniques J Dong University of Pennsylvania, 2020 | 1 | 2020 |
| Classification Protocols with Minimal Disclosure J Dong, J Hartline, A Vijayaraghavan Proceedings of the 2022 Symposium on Computer Science and Law, 67-76, 2022 | | 2022 |
| Authors’ Reply to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al. J Dong, A Roth, WJ Su Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022 | | 2022 |
| RSS Written Discussion for December 16, 2020 J Dong, A Roth, WJ Su | | |
| Optimal Differential Privacy Composition for Exponential Mechanisms: Supplementary Materials J Dong, D Durfee, R Rogers | | |
| Limiting properties on the number of leaves in Barabasi-Albert Model L Zhang, J Dong | | |
