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Articles

SKALD: Scalable K-Anonymisation for Large Datasets

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By Novoneel Chakraborty, Amogh Dharmavaram, Anshoo Tandon
| arxiv.org
arXiv:2505.03529 (cs) View PDF HTML (experimental) Comments: Subjects: Information Theory (cs.IT); Cryptography and Security (cs.CR) Cite as: arXiv:2505.03529 [cs.IT] (or arXiv:2505.03529v1 [cs.IT] for this version) https://doi.org/10.48550/arXiv.2505.03529 Submission history From: Novoneel Chakraborty [ view email] [v1] Tue, 6 May 2025 13:38:53 UTC (776 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Connected Papers Toggle Connected Papers (What is Connected...
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[2502.04749] Bounding User Contributions in the Worst-Case for User-Level Differentially Private Mean Estimation

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By V. Arvind, Anshoo Tandon
| arxiv.org
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