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Jinshuo Dong
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Classification Protocols with Minimal Disclosure


Sep 06, 2022
Jinshuo Dong, Jason Hartline, Aravindan Vijayaraghavan

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* In Proceedings of the 2022 Symposium on Computer Science and Law (CSLAW '22), November 1-2, 2022, Washington, DC, USA. ACM, New York, NY, USA, 10 pages 
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Privacy Amplification via Iteration for Shuffled and Online PNSGD


Jun 20, 2021
Matteo Sordello, Zhiqi Bu, Jinshuo Dong

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Optimal Accounting of Differential Privacy via Characteristic Function


Jun 16, 2021
Yuqing Zhu, Jinshuo Dong, Yu-Xiang Wang

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Rejoinder: Gaussian Differential Privacy


Apr 05, 2021
Jinshuo Dong, Aaron Roth, Weijie J. Su

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* Rejoinder to discussions on Gaussian Differential Privacy, read to the Royal Statistical Society in December 2020 
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A Central Limit Theorem for Differentially Private Query Answering


Mar 15, 2021
Jinshuo Dong, Weijie J. Su, Linjun Zhang

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Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion


Mar 25, 2020
Qinqing Zheng, Jinshuo Dong, Qi Long, Weijie J. Su

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Deep Learning with Gaussian Differential Privacy


Dec 10, 2019
Zhiqi Bu, Jinshuo Dong, Qi Long, Weijie J. Su

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Gaussian Differential Privacy


May 30, 2019
Jinshuo Dong, Aaron Roth, Weijie J. Su

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* v2 revises introduction, adds discussion and fixes some inconsistencies. v3 fixes typos 
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