Jinshuo Dong

23 papers A* 6A 1Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2024 — conf
Error-Tolerant E-Discovery Protocols.
CSLAW
Jinshuo Dong, Jason D. Hartline, Liren Shan, Aravindan Vijayaraghavan
2024 J jnl
Error-Tolerant E-Discovery Protocols.
CoRR
Jinshuo Dong, Jason D. Hartline, Liren Shan, Aravindan Vijayaraghavan
2022 — conf
Classification Protocols with Minimal Disclosure.
CSLAW
Jinshuo Dong, Jason D. Hartline, Aravindan Vijayaraghavan
2022 J jnl
Classification Protocols with Minimal Disclosure.
CoRR
Jinshuo Dong, Jason D. Hartline, Aravindan Vijayaraghavan
2022 A* conf
Log-Concave and Multivariate Canonical Noise Distributions for Differential Privacy.
NeurIPS
Jordan Awan, Jinshuo Dong
2022 J jnl
Log-Concave and Multivariate Canonical Noise Distributions for Differential Privacy.
CoRR
Jordan Awan, Jinshuo Dong
2022 A conf
Optimal Accounting of Differential Privacy via Characteristic Function.
AISTATS
Yuqing Zhu, Jinshuo Dong, Yu-Xiang Wang
2021 A* conf
A Central Limit Theorem for Differentially Private Query Answering.
NeurIPS
Jinshuo Dong, Weijie J. Su, Linjun Zhang
2021 J jnl
A Central Limit Theorem for Differentially Private Query Answering.
CoRR
Jinshuo Dong, Weijie J. Su, Linjun Zhang
2021 J jnl
Optimal Accounting of Differential Privacy via Characteristic Function.
CoRR
Yuqing Zhu, Jinshuo Dong, Yu-Xiang Wang
2021 — conf
Privacy Amplification via Iteration for Shuffled and Online PNSGD.
ECML/PKDD (2)
Matteo Sordello, Zhiqi Bu, Jinshuo Dong
2021 J jnl
Privacy Amplification via Iteration for Shuffled and Online PNSGD.
CoRR
Matteo Sordello, Zhiqi Bu, Jinshuo Dong
2021 J jnl
Rejoinder: Gaussian Differential Privacy.
CoRR
Jinshuo Dong, Aaron Roth, Weijie J. Su
2020 A* conf
Optimal Differential Privacy Composition for Exponential Mechanisms.
ICML
Jinshuo Dong, David Durfee, Ryan Rogers
2020 A* conf
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion.
ICML
Qinqing Zheng, Jinshuo Dong, Qi Long, Weijie J. Su
2020 J jnl
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion.
CoRR
Qinqing Zheng, Jinshuo Dong, Qi Long, Weijie J. Su
2019 J jnl
Deep Learning with Gaussian Differential Privacy.
CoRR
Zhiqi Bu, Jinshuo Dong, Qi Long, Weijie J. Su
2019 A* conf
Equilibrium Characterization for Data Acquisition Games.
IJCAI
Jinshuo Dong, Hadi Elzayn, Shahin Jabbari, Michael J. Kearns, Zachary Schutzman
2019 J jnl
Equilibrium Characterization for Data Acquisition Games.
CoRR
Jinshuo Dong, Hadi Elzayn, Shahin Jabbari, Michael J. Kearns, Zachary Schutzman
2019 J jnl
Gaussian Differential Privacy.
CoRR
Jinshuo Dong, Aaron Roth, Weijie J. Su
2019 J jnl
Optimal Differential Privacy Composition for Exponential Mechanisms and the Cost of Adaptivity.
CoRR
Jinshuo Dong, David Durfee, Ryan Rogers
2018 A* conf
Strategic Classification from Revealed Preferences.
EC
Jinshuo Dong, Aaron Roth, Zachary Schutzman, Bo Waggoner, Zhiwei Steven Wu
2017 J jnl
Strategic Classification from Revealed Preferences.
CoRR
Jinshuo Dong, Aaron Roth, Zachary Schutzman, Bo Waggoner, Zhiwei Steven Wu