Jinshuo Dong
Title
Cited by
Cited by
Year
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
452018
Gaussian differential privacy
J Dong, A Roth, WJ Su
arXiv preprint arXiv:1905.02383, 2019
392019
Deep learning with Gaussian differential privacy
Z Bu, J Dong, Q Long, WJ Su
Harvard data science review 2020 (23), 2020
192020
Optimal differential privacy composition for exponential mechanisms
J Dong, D Durfee, R Rogers
International Conference on Machine Learning, 2597-2606, 2020
22020
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
22020
Optimal differential privacy composition for exponential mechanisms and the cost of adaptivity
J Dong, D Durfee, R Rogers
arXiv preprint arXiv:1909.13830, 2019
22019
Equilibrium Characterization for Data Acquisition Games
J Dong, H Elzayn, S Jabbari, M Kearns, Z Schutzman
arXiv preprint arXiv:1905.08909, 2019
22019
Gaussian Differential Privacy and Related Techniques
J Dong
University of Pennsylvania, 2020
2020
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
A NOTE ON THE MAXIMUM OF RANDOM WALK WITH NEGATIVE DRIFT
L ZHANG, J DONG
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Articles 1–11