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2020 – today
- 2024
[c11]Shengye Wan, Joshua Saxe, Craig Gomes, Sahana Chennabasappa, Avilash Rath, Kun Sun, Xinda Wang:
Bridging the Gap: A Study of AI-based Vulnerability Management between Industry and Academia. DSN-S 2024: 80-87- [i14]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:
CyberSecEval 2: A Wide-Ranging Cybersecurity Evaluation Suite for Large Language Models. CoRR abs/2404.13161 (2024) - [i13]Shengye Wan, Joshua Saxe, Craig Gomes, Sahana Chennabasappa, Avilash Rath, Kun Sun, Xinda Wang:
Bridging the Gap: A Study of AI-based Vulnerability Management between Industry and Academia. CoRR abs/2405.02435 (2024) - [i12]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.:
The Llama 3 Herd of Models. CoRR abs/2407.21783 (2024) - [i11]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:
CYBERSECEVAL 3: Advancing the Evaluation of Cybersecurity Risks and Capabilities in Large Language Models. CoRR abs/2408.01605 (2024) - 2023
- [i10]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:
Purple Llama CyberSecEval: A Secure Coding Benchmark for Language Models. CoRR abs/2312.04724 (2023) - 2020
- [i9]Younghoo Lee, Joshua Saxe, Richard E. Harang:
CATBERT: Context-Aware Tiny BERT for Detecting Social Engineering Emails. CoRR abs/2010.03484 (2020)
2010 – 2019
- 2019
- [i8]Ben Gelman, Bryan Hoyle, Jessica Moore, Joshua Saxe, David Slater:
A Language-Agnostic Model for Semantic Source Code Labeling. CoRR abs/1906.01032 (2019) - 2018
- [c10]Ben Gelman, Bryan Hoyle, Jessica Moore
, Joshua Saxe, David Slater:
A language-agnostic model for semantic source code labeling. MASES@ASE 2018: 36-44 - [c9]Joshua Saxe, Richard E. Harang, Cody Wild, Hillary Sanders:
A Deep Learning Approach to Fast, Format-Agnostic Detection of Malicious Web Content. IEEE Symposium on Security and Privacy Workshops 2018: 8-14 - [i7]Joshua Saxe, Richard E. Harang, Cody Wild, Hillary Sanders:
A Deep Learning Approach to Fast, Format-Agnostic Detection of Malicious Web Content. CoRR abs/1804.05020 (2018) - [i6]Ethan M. Rudd, Richard E. Harang, Joshua Saxe:
MEADE: Towards a Malicious Email Attachment Detection Engine. CoRR abs/1804.08162 (2018) - 2017
- [i5]Joshua Saxe, Konstantin Berlin:
eXpose: A Character-Level Convolutional Neural Network with Embeddings For Detecting Malicious URLs, File Paths and Registry Keys. CoRR abs/1702.08568 (2017) - 2016
- [i4]Joshua Saxe, Rafael Turner, Kristina Blokhin:
CrowdSource: Automated Inference of High Level Malware Functionality from Low-Level Symbols Using a Crowd Trained Machine Learning Model. CoRR abs/1605.08642 (2016) - [i3]Konstantin Berlin, Joshua Saxe:
Improving Zero-Day Malware Testing Methodology Using Statistically Significant Time-Lagged Test Samples. CoRR abs/1608.00669 (2016) - 2015
- [c8]Konstantin Berlin, David Slater, Joshua Saxe:
Malicious Behavior Detection using Windows Audit Logs. AISec@CCS 2015: 35-44 - [c7]Joshua Saxe, Konstantin Berlin:
Deep neural network based malware detection using two dimensional binary program features. MALWARE 2015: 11-20 - [i2]Konstantin Berlin, David Slater, Joshua Saxe:
Malicious Behavior Detection using Windows Audit Logs. CoRR abs/1506.04200 (2015) - [i1]Joshua Saxe, Konstantin Berlin:
Deep Neural Network Based Malware Detection Using Two Dimensional Binary Program Features. CoRR abs/1508.03096 (2015) - 2014
- [c6]Joshua Saxe, Rafael Turner, Kristina Blokhin:
CrowdSource: Automated inference of high level malware functionality from low-level symbols using a crowd trained machine learning model. MALWARE 2014: 68-75 - [c5]Robert Gove, Joshua Saxe, Sigfried Gold, Alexander Long, Giacomo Bergamo:
SEEM: a scalable visualization for comparing multiple large sets of attributes for malware analysis. VizSEC 2014: 72-79 - [c4]Alexander Long, Joshua Saxe, Robert Gove:
Detecting malware samples with similar image sets. VizSEC 2014: 88-95 - 2013
- [c3]Joshua Saxe, David Mentis, Christopher Greamo:
Mining Web Technical Discussions to Identify Malware Capabilities. ICDCS Workshops 2013: 1-5 - [c2]Kristina Blokhin, Joshua Saxe, David Mentis:
Malware Similarity Identification Using Call Graph Based System Call Subsequence Features. ICDCS Workshops 2013: 6-10 - 2012
- [c1]Joshua Saxe, David Mentis, Christopher Greamo:
Visualization of shared system call sequence relationships in large malware corpora. VizSEC 2012: 33-40
Coauthor Index
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