1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2018
Supervising Nyström Methods via Negative Margin Support Vector Selection
Mert Al, Thee Chanyaswad, Sun-Yuan Kung
The Nyström methods have been popular techniques for scalable kernel based learning. They approximate explicit, low-dimensional feature mappings for kernel functions from the pairw…
cs.LG2018
A Differential Privacy Mechanism Design Under Matrix-Valued Query
Thee Chanyaswad, Alex Dytso, H. Vincent Poor +1
Traditionally, differential privacy mechanism design has been tailored for a scalar-valued query function. Although many mechanisms such as the Laplace and Gaussian mechanisms can…
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…