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By Author
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An Axiomatic View of Statistical Privacy and Utility
Daniel Kifer, Bing-Rong Lin
Differentially Private Confidence Intervals for Empirical Risk Minimization
Yue Wang, Daniel Kifer, Jaewoo Lee
Per-instance Differential Privacy
Yu-Xiang Wang
Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning
Benjamin I. P. Rubinstein, Peter L. Bartlett, Ling Huang, Nina Taft
Private Convex Optimization via Exponential Mechanism
Sivakanth Gopi, Yin Tat Lee, Daogao Liu
Dual Query: Practical Private Query Release for High Dimensional Data
Marco Gaboardi, Emilio Jesús Gallego Arias, Justin Hsu, Aaron Roth, Zhiwei Steven Wu
Differentially Private Inference for Binomial Data
Jordan Alexander Awan, Aleksandra Slavkovic
1 - 7 of 7 items