Joshua Saxe - RankMe

27 papers C 3Journal 16Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety. CoRR Tomek Korbak, Mikita Balesni, Elizabeth Barnes, Yoshua Bengio, Joe Benton, Joseph Bloom, Mark Chen, Alan Cooney, Allan Dafoe, Anca D. Dragan, Scott Emmons, Owain Evans, David Farhi, Ryan Greenblatt, Dan Hendrycks, Marius Hobbhahn, Evan Hubinger, Geoffrey Irving, Erik Jenner, Daniel Kokotajlo, Victoria Krakovna, Shane Legg, David Lindner, David Luan, Aleksander Madry, Julian Michael, Neel Nanda, Dave Orr, Jakub Pachocki, Ethan Perez, Mary Phuong, Fabien Roger, Joshua Saxe, Buck Shlegeris, Martín Soto, Eric Steinberger, Jasmine Wang, Wojciech Zaremba, Bowen Baker, Rohin Shah, Vladimir Mikulik
2025	J	`jnl`	CyberSOCEval: Benchmarking LLMs Capabilities for Malware Analysis and Threat Intelligence Reasoning. CoRR Lauren Deason, Adam Bali, Ciprian Bejean, Diana Bolocan, James Crnkovich, Ioana Croitoru, Krishna Durai, Chase Midler, Calin Miron, David Molnar, Brad Moon, Bruno Ostarcevic, Alberto Peltea, Matt Rosenberg, Catalin Sandu, Arthur Saputkin, Sagar Shah, Daniel Stan, Ernest Szocs, Shengye Wan, Spencer Whitman, Sven Krasser, Joshua Saxe
2025	J	`jnl`	LlamaFirewall: An open source guardrail system for building secure AI agents. CoRR Sahana Chennabasappa, Cyrus Nikolaidis, Daniel Song, David Molnar, Stephanie Ding, Shengye Wan, Spencer Whitman, Lauren Deason, Nicholas Doucette, Abraham Montilla, Alekhya Gampa, Beto de Paola, Dominik Gabi, James Crnkovich, Jean-Christophe Testud, Kat He, Rashnil Chaturvedi, Wu Zhou, Joshua Saxe
2024	—	`conf`	Bridging the Gap: A Study of AI-based Vulnerability Management between Industry and Academia. DSN-S Shengye Wan, Joshua Saxe, Craig Gomes, Sahana Chennabasappa, Avilash Rath, Kun Sun, Xinda Wang
2024	J	`jnl`	Bridging the Gap: A Study of AI-based Vulnerability Management between Industry and Academia. CoRR Shengye Wan, Joshua Saxe, Craig Gomes, Sahana Chennabasappa, Avilash Rath, Kun Sun, Xinda Wang
2024	J	`jnl`	CYBERSECEVAL 3: Advancing the Evaluation of Cybersecurity Risks and Capabilities in Large Language Models. CoRR 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
2024	J	`jnl`	CyberSecEval 2: A Wide-Ranging Cybersecurity Evaluation Suite for Large Language Models. CoRR 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
2023	J	`jnl`	Purple Llama CyberSecEval: A Secure Coding Benchmark for Language Models. CoRR 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
2020	J	`jnl`	CATBERT: Context-Aware Tiny BERT for Detecting Social Engineering Emails. CoRR Younghoo Lee, Joshua Saxe, Richard E. Harang
2019	J	`jnl`	A Language-Agnostic Model for Semantic Source Code Labeling. CoRR Ben Gelman, Bryan Hoyle, Jessica Moore, Joshua Saxe, David Slater
2018	—	`conf`	A Deep Learning Approach to Fast, Format-Agnostic Detection of Malicious Web Content. IEEE Symposium on Security and Privacy Workshops Joshua Saxe, Richard E. Harang, Cody Wild, Hillary Sanders
2018	J	`jnl`	A Deep Learning Approach to Fast, Format-Agnostic Detection of Malicious Web Content. CoRR Joshua Saxe, Richard E. Harang, Cody Wild, Hillary Sanders
2018	—	`conf`	A language-agnostic model for semantic source code labeling. MASES@ASE Ben Gelman, Bryan Hoyle, Jessica Moore, Joshua Saxe, David Slater
2018	J	`jnl`	MEADE: Towards a Malicious Email Attachment Detection Engine. CoRR Ethan M. Rudd, Richard E. Harang, Joshua Saxe
2017	J	`jnl`	eXpose: A Character-Level Convolutional Neural Network with Embeddings For Detecting Malicious URLs, File Paths and Registry Keys. CoRR Joshua Saxe, Konstantin Berlin
2016	J	`jnl`	CrowdSource: Automated Inference of High Level Malware Functionality from Low-Level Symbols Using a Crowd Trained Machine Learning Model. CoRR Joshua Saxe, Rafael Turner, Kristina Blokhin
2016	J	`jnl`	Improving Zero-Day Malware Testing Methodology Using Statistically Significant Time-Lagged Test Samples. CoRR Konstantin Berlin, Joshua Saxe
2015	J	`jnl`	Deep Neural Network Based Malware Detection Using Two Dimensional Binary Program Features. CoRR Joshua Saxe, Konstantin Berlin
2015	—	`conf`	Deep neural network based malware detection using two dimensional binary program features. MALWARE Joshua Saxe, Konstantin Berlin
2015	—	`conf`	Malicious Behavior Detection using Windows Audit Logs. AISec@CCS Konstantin Berlin, David Slater, Joshua Saxe
2015	J	`jnl`	Malicious Behavior Detection using Windows Audit Logs. CoRR Konstantin Berlin, David Slater, Joshua Saxe
2014	—	`conf`	CrowdSource: Automated inference of high level malware functionality from low-level symbols using a crowd trained machine learning model. MALWARE Joshua Saxe, Rafael Turner, Kristina Blokhin
2014	C	`conf`	Detecting malware samples with similar image sets. VizSEC Alexander Long, Joshua Saxe, Robert Gove
2014	C	`conf`	SEEM: a scalable visualization for comparing multiple large sets of attributes for malware analysis. VizSEC Robert Gove, Joshua Saxe, Sigfried Gold, Alexander Long, Giacomo Bergamo
2013	—	`conf`	Malware Similarity Identification Using Call Graph Based System Call Subsequence Features. ICDCS Workshops Kristina Blokhin, Joshua Saxe, David Mentis
2013	—	`conf`	Mining Web Technical Discussions to Identify Malware Capabilities. ICDCS Workshops Joshua Saxe, David Mentis, Christopher Greamo
2012	C	`conf`	Visualization of shared system call sequence relationships in large malware corpora. VizSEC Joshua Saxe, David Mentis, Christopher Greamo