24 citations · 70 across the 18 of their papers we have counts for
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cs.CR2021
Canonical Noise Distributions and Private Hypothesis Tests
Jordan Awan, Salil Vadhan
-DP has recently been proposed as a generalization of differential privacy allowing a lossless analysis of composition, post-processing, and privacy amplification via subsamplin…
cs.CR2021★ 1 cited
Privacy-Aware Rejection Sampling
Jordan Awan, Vinayak Rao
Differential privacy (DP) offers strong theoretical privacy guarantees, but implementations of DP mechanisms may be vulnerable to side-channel attacks, such as timing attacks. When…
math.CO2021
Demicaps in AG(4,3) and Their Relation to Maximal Cap Partitions
Jordan Awan, Clare Frechette, Yumi Li +1
In this paper, we introduce a fundamental substructure of maximal caps in the affine geometry that we call \emph{demicaps}. Demicaps provide a direct link to particular p…