35 citations · 37 across the 6 of their papers we have counts for
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cs.CR2017
RON-Gauss: Enhancing Utility in Non-Interactive Private Data Release
Thee Chanyaswad, Changchang Liu, Prateek Mittal
A key challenge facing the design of differential privacy in the non-interactive setting is to maintain the utility of the released data. To overcome this challenge, we utilize the…
cs.CR2017★ 1 cited
Desensitized RDCA Subspaces for Compressive Privacy in Machine Learning
Artur Filipowicz, Thee Chanyaswad, S. Y. Kung
The quest for better data analysis and artificial intelligence has lead to more and more data being collected and stored. As a consequence, more data are exposed to malicious entit…