51 citations · 160 across the 19 of their papers we have counts for
27 papers
Differentially Private Approximation of the John Ellipsoid
Bar Mahpud, Daniel Omer, Or Sheffet
We study the problem of approximating the John ellipsoid (JE) of a given (centrally symmetric) polytope of constraints in a Euclidean space under differential privacy (DP). We…
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…
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…
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…
A Differentially Private Linear-Time fPTAS for the Minimum Enclosing Ball Problem
Bar Mahpud, Or Sheffet
The Minimum Enclosing Ball (MEB) problem is one of the most fundamental problems in clustering, with applications in operations research, statistics and computational geometry. In…
Transfer Learning In Differential Privacy's Hybrid-Model
Refael Kohen, Or Sheffet
The hybrid-model (Avent et al 2017) in Differential Privacy is a an augmentation of the local-model where in addition to N local-agents we are assisted by one special agent who is…