Jacob Harer — accepted AI-conference papers

2019

Deep Learning for Minimal-context Block Tracking through Side-channel Analysis

L. Jensen, G. Brown, Xiao Wang, Jacob Harer, S. Chin

ICASSP 2019accepted

It is well known that electromagnetic and power side-channel attacks allow extraction of unintended information from a computer processor. However, little work has been done to quantify how small a sample is needed in order to glean meaningful information about a program’s execution. This paper quan…

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2018

Learning to Repair Software Vulnerabilities with Generative Adversarial Networks

Jacob Harer, Onur Ozdemir, Tomo Lazovich, Christopher Reale, Rebecca Russell, Louis Kim +1

NeurIPS 2018poster

Motivated by the problem of automated repair of software vulnerabilities, we propose an adversarial learning approach that maps from one discrete source domain to another target domain without requiring paired labeled examples or source and target domains to be bijections. We demonstrate that the pr…

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