51 citations · 160 across the 19 of their papers we have counts for
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cs.DS2025
Differentially Private Learning of Exponential Distributions: Simple Algorithms and Tight Bounds
Bar Mahpud, Or Sheffet
We study the problem of learning exponential distributions under differential privacy. Given i.i.d.\ samples from , the goal is to privately estimate so th…
cs.LG2025
Privacy-Preserving Conformal Prediction Under Local Differential Privacy
Coby Penso, Bar Mahpud, Jacob Goldberger +1
Conformal prediction (CP) provides sets of candidate classes with a guaranteed probability of containing the true class. However, it typically relies on a calibration set with clea…
cs.LG2025
A Private Approximation of the 2nd-Moment Matrix of Any Subsamplable Input
Bar Mahpud, Or Sheffet
We study the problem of differentially private second moment estimation and present a new algorithm that achieve strong privacy-utility trade-offs even for worst-case inputs under…