101 citations · 105 across the 2 of their papers we have counts for
3 papers
cs.LG2019★ 4 cited
A Language-Agnostic Model for Semantic Source Code Labeling
Ben Gelman, Bryan Hoyle, Jessica Moore +2
Code search and comprehension have become more difficult in recent years due to the rapid expansion of available source code. Current tools lack a way to label arbitrary code at sc…
cs.CR2017★ 101 cited
eXpose: A Character-Level Convolutional Neural Network with Embeddings For Detecting Malicious URLs, File Paths and Registry Keys
Joshua Saxe, Konstantin Berlin
For years security machine learning research has promised to obviate the need for signature based detection by automatically learning to detect indicators of attack. Unfortunately,…
cs.CR2016
CrowdSource: Automated Inference of High Level Malware Functionality from Low-Level Symbols Using a Crowd Trained Machine Learning Model
Joshua Saxe, Rafael Turner, Kristina Blokhin
In this paper we introduce CrowdSource, a statistical natural language processing system designed to make rapid inferences about malware functionality based on printable character…