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20232026
most citedImproving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners

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cs.CR2024

Privacy Profiles for Private Selection

Antti Koskela, Rachel Redberg, Yu-Xiang Wang

Private selection mechanisms (e.g., Report Noisy Max, Sparse Vector) are fundamental primitives of differentially private (DP) data analysis with wide applications to private query…