activity
20182020
most citedArtificial Intelligence Techniques for Security Vulnerability Prevention

5 citations · 8 across the 3 of their papers we have counts for

collaborators

5 papers

cs.DC2020

Coherence Traffic in Manycore Processors with Opaque Distributed Directories

Steve Kommrusch, Marcos Horro, Louis-Noël Pouchet +2

Manycore processors feature a high number of general-purpose cores designed to work in a multithreaded fashion. Recent manycore processors are kept coherent using scalable distribu…

cs.CR20195 cited

Artificial Intelligence Techniques for Security Vulnerability Prevention

Steve Kommrusch

Computer security has been a concern for decades and artificial intelligence techniques have been applied to the area for nearly as long. Most of the techniques are being applied t…

cs.SE20193 cited

Using Sequence-to-Sequence Learning for Repairing C Vulnerabilities

Zimin Chen, Steve Kommrusch, Martin Monperrus

Software vulnerabilities affect all businesses and research is being done to avoid, detect or repair them. In this article, we contribute a new technique for automatic vulnerabilit…

cs.SE2019

SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair

Zimin Chen, Steve Kommrusch, Michele Tufano +3

This paper presents a novel end-to-end approach to program repair based on sequence-to-sequence learning. We devise, implement, and evaluate a system, called SequenceR, for fixing…

cs.CV2018

Synthetic Lung Nodule 3D Image Generation Using Autoencoders

Steve Kommrusch, Louis-Noël Pouchet

One of the challenges of using machine learning techniques with medical data is the frequent dearth of source image data on which to train. A representative example is automated lu…