Jinshuo Dong

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 23

Top Topics

Subgraph Isomorphism

Differential Privacy

Differentially Private

Equilibrium Strategies

Top Venues

Publications

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