1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CR2022
Widespread Underestimation of Sensitivity in Differentially Private Libraries and How to Fix It
Sílvia Casacuberta, Michael Shoemate, Salil Vadhan +1
We identify a new class of vulnerabilities in implementations of differential privacy. Specifically, they arise when computing basic statistics such as sums, thanks to discrepancie…
cs.CV2021★ 1 cited
PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability
Sílvia Casacuberta, Esra Suel, Seth Flaxman
In this paper we introduce a new problem within the growing literature of interpretability for convolution neural networks (CNNs). While previous work has focused on the question o…