Jinshuo Dong

According to our database, Jinshuo Dong authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Error-Tolerant E-Discovery Protocols.

Jinshuo Dong, Jason D. Hartline, Liren Shan, Aravindan Vijayaraghavan

Proceedings of the Symposium on Computer Science and Law, 2024

2022

Log-Concave and Multivariate Canonical Noise Distributions for Differential Privacy.

Jordan Awan, Jinshuo Dong

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Classification Protocols with Minimal Disclosure.

Jinshuo Dong, Jason D. Hartline, Aravindan Vijayaraghavan

Proceedings of the 2022 Symposium on Computer Science and Law, 2022

Optimal Accounting of Differential Privacy via Characteristic Function.

Yuqing Zhu, Jinshuo Dong, Yu-Xiang Wang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Rejoinder: Gaussian Differential Privacy.

Jinshuo Dong, Aaron Roth, Weijie J. Su

CoRR, 2021

Privacy Amplification via Iteration for Shuffled and Online PNSGD.

Matteo Sordello, Zhiqi Bu, Jinshuo Dong

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

A Central Limit Theorem for Differentially Private Query Answering.

Jinshuo Dong, Weijie J. Su, Linjun Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion.

Qinqing Zheng, Jinshuo Dong, Qi Long, Weijie J. Su

Proceedings of the 37th International Conference on Machine Learning, 2020

Optimal Differential Privacy Composition for Exponential Mechanisms.

Jinshuo Dong, David Durfee, Ryan Rogers

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Deep Learning with Gaussian Differential Privacy.

Zhiqi Bu, Jinshuo Dong, Qi Long, Weijie J. Su

CoRR, 2019

Optimal Differential Privacy Composition for Exponential Mechanisms and the Cost of Adaptivity.

Jinshuo Dong, David Durfee, Ryan Rogers

CoRR, 2019

Gaussian Differential Privacy.

Jinshuo Dong, Aaron Roth, Weijie J. Su

CoRR, 2019

Equilibrium Characterization for Data Acquisition Games.

Jinshuo Dong, Hadi Elzayn, Shahin Jabbari, Michael J. Kearns, Zachary Schutzman

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Strategic Classification from Revealed Preferences.

Jinshuo Dong, Aaron Roth, Zachary Schutzman, Bo Waggoner, Zhiwei Steven Wu

Proceedings of the 2018 ACM Conference on Economics and Computation, 2018