Fingerprinting arguments, first introduced by Bun, Ullman, and Vadhan (S...
In adaptive data analysis, a mechanism gets n i.i.d. samples from an
unk...
Clustering is a fundamental problem in data analysis. In differentially
...
Differentially private algorithms for common metric aggregation tasks, s...
In distributed differential privacy, the parties perform analysis over t...
In a multiparty fair coin-flipping protocol, the parties output a common...
Hardness amplification is a central problem in the study of interactive
...
In a multi-party fair coin-flipping protocol, the parties output a commo...
We present a differentially private learner for halfspaces over a finite...
We provide enhanced security against insider attacks in services that ma...
We explore the use of SGX enclaves as a means to improve the security of...