Joshua Saxe

According to our database, Joshua Saxe authored at least 15 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

Purple Llama CyberSecEval: A Secure Coding Benchmark for Language Models.

Manish Bhatt, Sahana Chennabasappa, Cyrus Nikolaidis, Shengye Wan, Ivan Evtimov, Dominik Gabi, Daniel Song, Faizan Ahmad, Cornelius Aschermann, Lorenzo Fontana, Sasha Frolov, Ravi Prakash Giri, Dhaval Kapil, Yiannis Kozyrakis, David LeBlanc, James Milazzo, Aleksandar Straumann, Gabriel Synnaeve, Varun Vontimitta, Spencer Whitman, Joshua Saxe

CoRR, 2023

2020

CATBERT: Context-Aware Tiny BERT for Detecting Social Engineering Emails.

Younghoo Lee, Joshua Saxe, Richard E. Harang

CoRR, 2020

2018

MEADE: Towards a Malicious Email Attachment Detection Engine.

Ethan M. Rudd, Richard E. Harang, Joshua Saxe

CoRR, 2018

A Deep Learning Approach to Fast, Format-Agnostic Detection of Malicious Web Content.

Joshua Saxe, Richard E. Harang, Cody Wild, Hillary Sanders

Proceedings of the 2018 IEEE Security and Privacy Workshops, 2018

A language-agnostic model for semantic source code labeling.

Ben Gelman, Bryan Hoyle, Jessica Moore, Joshua Saxe, David Slater

Proceedings of the 1st International Workshop on Machine Learning and Software Engineering in Symbiosis, 2018

2017

eXpose: A Character-Level Convolutional Neural Network with Embeddings For Detecting Malicious URLs, File Paths and Registry Keys.

Joshua Saxe, Konstantin Berlin

CoRR, 2017

2016

Improving Zero-Day Malware Testing Methodology Using Statistically Significant Time-Lagged Test Samples.

Konstantin Berlin, Joshua Saxe

CoRR, 2016

2015

Deep neural network based malware detection using two dimensional binary program features.

Joshua Saxe, Konstantin Berlin

Proceedings of the 10th International Conference on Malicious and Unwanted Software, 2015

Malicious Behavior Detection using Windows Audit Logs.

Konstantin Berlin, David Slater, Joshua Saxe

Proceedings of the 8th ACM Workshop on Artificial Intelligence and Security, 2015

2014

Detecting malware samples with similar image sets.

Alexander Long, Joshua Saxe, Robert Gove

Proceedings of the 11th Workshop on Visualization for Cyber Security, 2014

SEEM: a scalable visualization for comparing multiple large sets of attributes for malware analysis.

Robert Gove, Joshua Saxe, Sigfried Gold, Alexander Long, Giacomo Bergamo

Proceedings of the 11th Workshop on Visualization for Cyber Security, 2014

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

Proceedings of the 9th International Conference on Malicious and Unwanted Software: The Americas MALWARE 2014, 2014

2013

Mining Web Technical Discussions to Identify Malware Capabilities.

Joshua Saxe, David Mentis, Christopher Greamo

Proceedings of the 33rd International Conference on Distributed Computing Systems Workshops (ICDCS 2013 Workshops), 2013

Malware Similarity Identification Using Call Graph Based System Call Subsequence Features.

Kristina Blokhin, Joshua Saxe, David Mentis

Proceedings of the 33rd International Conference on Distributed Computing Systems Workshops (ICDCS 2013 Workshops), 2013

2012

Visualization of shared system call sequence relationships in large malware corpora.

Joshua Saxe, David Mentis, Christopher Greamo

Proceedings of the 9th International Symposium on Visualization for Cyber Security, 2012