Sanjeev Kulkarni

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math.ST2026

Statistical Unlearning of Distributions: A Hypothesis Testing Approach

Aaradhya Pandey, Sanjeev Kulkarni

Machine learning systems increasingly face requirements to forget not only individual data points, but entire domains of information, such as toxic language, copyrighted corpora, o…

math.ST2025

Infinitely divisible privacy and beyond I: resolution of the $s^{2} = 2 k$ conjecture

Aaradhya Pandey, Arian Maleki, Sanjeev Kulkarni

Differential privacy is increasingly formalized through the lens of hypothesis testing via the robust and interpretable $f$ -DP framework, where privacy guarantees are encoded by a…

Statistical Unlearning of Distributions: A Hypothesis Testing Approach

Infinitely divisible privacy and beyond I: resolution of the s2=2k conjecture

Infinitely divisible privacy and beyond I: resolution of the $s^{2} = 2 k$ conjecture