6 citations · 12 across the 10 of their papers we have counts for
8 papers · 1 filter
Adversarial Risk via Optimal Transport and Optimal Couplings
Muni Sreenivas Pydi, Varun Jog
Modern machine learning algorithms perform poorly on adversarially manipulated data. Adversarial risk quantifies the error of classifiers in adversarial settings; adversarial class…
Extracting robust and accurate features via a robust information bottleneck
Ankit Pensia, Varun Jog, Po-Ling Loh
We propose a novel strategy for extracting features in supervised learning that can be used to construct a classifier which is more robust to small perturbations in the input space…
Robustifying deep networks for image segmentation
Zheng Liu, Jinnian Zhang, Varun Jog +2
Purpose: The purpose of this study is to investigate the robustness of a commonly-used convolutional neural network for image segmentation with respect to visually-subtle adversari…
Estimating location parameters in entangled single-sample distributions
Ankit Pensia, Varun Jog, Po-Ling Loh
We consider the problem of estimating the common mean of independently sampled data, where samples are drawn in a possibly non-identical manner from symmetric, unimodal distributio…
Channels, Remote Estimation and Queueing Systems With A Utilization-Dependent Component: A Unifying Survey Of Recent Results
Varun Jog, Richard J. La, Michael Lin +1
In this article, we survey the main models, techniques, concepts, and results centered on the design and performance evaluation of engineered systems that rely on a utilization-dep…
Dual Loomis-Whitney inequalities via information theory
Jing Hao, Varun Jog
We establish lower bounds on the volume and the surface area of a geometric body using the size of its slices along different directions. In the first part of the paper, we derive…