Aaradhya Pandey

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20242026

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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…

stat.ML2025

Gaussian Certified Unlearning in High Dimensions: A Hypothesis Testing Approach

Aaradhya Pandey, Arnab Auddy, Haolin Zou +2

Machine unlearning seeks to efficiently remove the influence of selected data while preserving generalization. Significant progress has been made in low dimensions $(p ≪ n)$ , but…

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

Gaussian Certified Unlearning in High Dimensions: A Hypothesis Testing Approach

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