We study the problem of subsampling in differential privacy (DP), a question that is the centerpiece behind many successful differentially private machine ...
Jul 31, 2018 · We study the problem of subsampling in differential privacy (DP), a question that is the centerpiece behind many successful differentially private machine ...
We study the problem of subsampling in differ- ential privacy (DP), a question that is the cen- terpiece behind many successful differentially.
Feb 3, 2021 · We study the problem of subsampling in differential privacy (DP), a question that is the centerpiece behind many successful differentially ...
In this paper, we tackle this central problem in private data analysis and provide the first general result in this area. Specifically, we analyze RDP ...
Subsampled Renyi Differential Privacy and Analytical Moments Accountant. Yu-Xiang Wang. UC Santa Barbara. Joint work with Borja Balle and Shiva Kasiviswanathan.
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Abstract. We study the problem of subsampling in differential privacy (DP), a question that is the centerpiece behind many successful differentially private ...
A tight upper bound is provided on the Renyi Differential Privacy (RDP) parameters for algorithms that subsample the dataset, and then apply a randomized ...
Return to Article Details Subsampled Rényi Differential Privacy and Analytical Moments Accountant Download Download PDF. Thumbnails Document Outline
Sep 10, 2024 · We study the problem of subsampling in differential privacy (DP), a question that is the centerpiece behind many successful differentially ...