Joshua Saxe

According to our database, Joshua Saxe authored at least 19 papers between 2012 and 2024.

Collaborative distances:

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

2024

CYBERSECEVAL 3: Advancing the Evaluation of Cybersecurity Risks and Capabilities in Large Language Models.

Shengye Wan, Cyrus Nikolaidis, Daniel Song, David Molnar, James Crnkovich, Jayson Grace, Manish Bhatt, Sahana Chennabasappa, Spencer Whitman, Stephanie Ding, Vlad Ionescu, Yue Li, Joshua Saxe

CoRR, 2024

The Llama 3 Herd of Models.

Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, Anirudh Goyal, Anthony Hartshorn, Aobo Yang, Archi Mitra, Archie Sravankumar, Artem Korenev, Arthur Hinsvark, Arun Rao, Aston Zhang, Aurélien Rodriguez, Austen Gregerson, Ava Spataru, Baptiste Rozière, Bethany Biron, Binh Tang, Bobbie Chern, Charlotte Caucheteux, Chaya Nayak, Chloe Bi, Chris Marra, Chris McConnell, Christian Keller, Christophe Touret, Chunyang Wu, Corinne Wong, Cristian Canton Ferrer, Cyrus Nikolaidis, Damien Allonsius, Daniel Song, Danielle Pintz, Danny Livshits, David Esiobu, Dhruv Choudhary, Dhruv Mahajan, Diego Garcia-Olano, Diego Perino, Dieuwke Hupkes, Egor Lakomkin, Ehab AlBadawy, Elina Lobanova, Emily Dinan, Eric Michael Smith, Filip Radenovic, Frank Zhang, Gabriel Synnaeve, Gabrielle Lee, Georgia Lewis Anderson, Graeme Nail, Grégoire Mialon, Guan Pang, Guillem Cucurell, Hailey Nguyen, Hannah Korevaar, Hu Xu, Hugo Touvron, Iliyan Zarov, Imanol Arrieta Ibarra, Isabel M. Kloumann, Ishan Misra, Ivan Evtimov, Jade Copet, Jaewon Lee, Jan Geffert, Jana Vranes, Jason Park, Jay Mahadeokar, Jeet Shah, Jelmer van der Linde, Jennifer Billock, Jenny Hong, Jenya Lee, Jeremy Fu, Jianfeng Chi, Jianyu Huang, Jiawen Liu, Jie Wang, Jiecao Yu, Joanna Bitton, Joe Spisak, Jongsoo Park, Joseph Rocca, Joshua Johnstun, Joshua Saxe, Junteng Jia, Kalyan Vasuden Alwala, Kartikeya Upasani, Kate Plawiak, Ke Li, Kenneth Heafield, Kevin Stone, et al.

CoRR, 2024

CyberSecEval 2: A Wide-Ranging Cybersecurity Evaluation Suite for Large Language Models.

Manish Bhatt, Sahana Chennabasappa, Yue Li, Cyrus Nikolaidis, Daniel Song, Shengye Wan, Faizan Ahmad, Cornelius Aschermann, Yaohui Chen, Dhaval Kapil, David Molnar, Spencer Whitman, Joshua Saxe

CoRR, 2024

Bridging the Gap: A Study of AI-based Vulnerability Management between Industry and Academia.

Shengye Wan, Joshua Saxe, Craig Gomes, Sahana Chennabasappa, Avilash Rath, Kun Sun, Xinda Wang

Proceedings of the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2024

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