22 citations · 64 across the 12 of their papers we have counts for
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cs.LG2021★ 13 cited
Optimal Accounting of Differential Privacy via Characteristic Function
Yuqing Zhu, Jinshuo Dong, Yu-Xiang Wang
Characterizing the privacy degradation over compositions, i.e., privacy accounting, is a fundamental topic in differential privacy (DP) with many applications to differentially pri…
cs.LG2019★ 22 cited
Deep Learning with Gaussian Differential Privacy
Zhiqi Bu, Jinshuo Dong, Qi Long +1
Deep learning models are often trained on datasets that contain sensitive information such as individuals' shopping transactions, personal contacts, and medical records. An increas…
cs.LG2017★ 6 cited
Strategic Classification from Revealed Preferences
Jinshuo Dong, Aaron Roth, Zachary Schutzman +2
We study an online linear classification problem, in which the data is generated by strategic agents who manipulate their features in an effort to change the classification outcome…