48 citations · 78 across the 7 of their papers we have counts for
Showing 2017 · cs.LGShow all
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cs.LG2017
Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure
Beilun Wang, Arshdeep Sekhon, Yanjun Qi
We focus on the problem of estimating the change in the dependency structures of two -dimensional Gaussian Graphical models (GGMs). Previous studies for sparse change estimation…
cs.LG2017
GaKCo: a Fast GApped k-mer string Kernel using COunting
Ritambhara Singh, Arshdeep Sekhon, Kamran Kowsari +3
String Kernel (SK) techniques, especially those using gapped -mers as features (gk), have obtained great success in classifying sequences like DNA, protein, and text. However, t…
cs.LG2017
DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples
Ji Gao, Beilun Wang, Zeming Lin +2
Recent studies have shown that deep neural networks (DNN) are vulnerable to adversarial samples: maliciously-perturbed samples crafted to yield incorrect model outputs. Such attack…