20 citations · 21 across the 4 of their papers we have counts for
3 papers · 1 filter
The Privacy-preserving Padding Problem: Non-negative Mechanisms for Conservative Answers with Differential Privacy
Benjamin M. Case, James Honaker, Mahnush Movahedi
Differentially private noise mechanisms commonly use symmetric noise distributions. This is attractive both for achieving the differential privacy definition, and for unbiased expe…
Privacy-Preserving Randomized Controlled Trials: A Protocol for Industry Scale Deployment
Mahnush Movahedi, Benjamin M. Case, Andrew Knox +6
In this paper, we outline a way to deploy a privacy-preserving protocol for multiparty Randomized Controlled Trials on the scale of 500 million rows of data and more than a billion…
Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural Networks
Alex Habeen Chang, Benjamin M. Case
Privacy preserving machine learning is an active area of research usually relying on techniques such as homomorphic encryption or secure multiparty computation. Recent novel encryp…