Jinshuo Dong

Orcid: 0000-0002-2741-6722

According to our database1, Jinshuo Dong authored at least 14 papers between 2018 and 2024.

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Bibliography

2024
Error-Tolerant E-Discovery Protocols.
Proceedings of the Symposium on Computer Science and Law, 2024

2022
Log-Concave and Multivariate Canonical Noise Distributions for Differential Privacy.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Classification Protocols with Minimal Disclosure.
Proceedings of the 2022 Symposium on Computer Science and Law, 2022

Optimal Accounting of Differential Privacy via Characteristic Function.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Rejoinder: Gaussian Differential Privacy.
CoRR, 2021

Privacy Amplification via Iteration for Shuffled and Online PNSGD.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

A Central Limit Theorem for Differentially Private Query Answering.
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.
Proceedings of the 37th International Conference on Machine Learning, 2020

Optimal Differential Privacy Composition for Exponential Mechanisms.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Deep Learning with Gaussian Differential Privacy.
CoRR, 2019

Optimal Differential Privacy Composition for Exponential Mechanisms and the Cost of Adaptivity.
CoRR, 2019

Gaussian Differential Privacy.
CoRR, 2019

Equilibrium Characterization for Data Acquisition Games.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Strategic Classification from Revealed Preferences.
Proceedings of the 2018 ACM Conference on Economics and Computation, 2018


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