Jinshuo Dong

About me: I am currently a post-doc at IDEAL (i.e. Northwestern University and TTI Chicago). Previously, I got my PhD in applied math (AMCS) from the University of Pennsylvania, under the supervision of Aaron Roth. Prior to Penn, I obtained my bachelor's degree in mathematics from Peking University in 2014. [CV] [blog] Contact: Email: first name@northwestern.edu

Research

Current focus of my work is differential privacy and its role in statistics and machine learning. I'm also generally interested in expanding my knowledge in the mathematics of information and computation.

Papers

• A Central Limit Theorem for Differentially Private Query Answering
  Jinshuo Dong, Weijie Su and Linjun Zhang.
  In the proceedings of NeurIPS 2021 (selected as spotlight).
  [arXiv] [proceeding] [slides] [video(login needed)]

• Optimal Accounting of Differential Privacy via Characteristic Function
  Yuqing Zhu, Jinshuo Dong and Yu-Xiang Wang.
  In submission.
  [arXiv]

• Privacy Amplification via Iteration for Shuffled and Online PNSGD
  Matteo Sordello, Zhiqi Bu, Jinshuo Dong.
  In the proceedings of ECML/PKDD 2021.
  [arXiv] [proceeding]

• Gaussian Differential Privacy
  Jinshuo Dong, Aaron Roth and Weijie Su.
  J R Stat Soc Series B (with discussion). 2021;00:1–35.
  [blog post] [arXiv] [talk at Simons Institute] [discussion at Royal Stat. Soc.]

• Rejoinder: Gaussian Differential Privacy
  Jinshuo Dong, Aaron Roth and Weijie Su.
  Discussion reply. J R Stat Soc Series B. 2021;00:1–4.
  [arXiv]

• Deep Learning with Gaussian Differential Privacy
  Zhiqi Bu, Jinshuo Dong, Qi Long and Weijie Su.
  Harvard Data Science Review, 2020(23), 2020.
  [blog post] [arXiv] [talk at PriML Workshop of NeurIPS 2019] [code].

• Optimal Differential Privacy Composition for Exponential Mechanisms
  Jinshuo Dong, David Durfee and Ryan Rogers.
  In the proceedings of ICML 2020.
  [blog post] [arXiv] [proceeding]

• Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
  Qinqing Zheng, Jinshuo Dong, Qi Long, and Weijie Su.
  In the proceedings of ICML 2020.
  [arXiv] [proceeding]

• Equilibrium Characterization for Data Acquisition Games.
  Jinshuo Dong, Hadi Elzayn, Shahin Jabbari, Michael Kearns and Zachary Schutzman.
  In the proceedings of IJCAI 2019.
  [arXiv] [proceeding]

• Strategic Classification from Revealed Preferences
  Jinshuo Dong, Aaron Roth, Zachary Schutzman, Bo Waggoner and Steven Wu.
  In the proceedings of EC 2018.
  [arXiv] [proceeding]