Brendan Dolan-Gavitt

According to our database, Brendan Dolan-Gavitt authored at least 55 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

VeriGen: A Large Language Model for Verilog Code Generation.

Shailja Thakur, Baleegh Ahmad, Hammond Pearce, Benjamin Tan, Brendan Dolan-Gavitt, Ramesh Karri, Siddharth Garg

ACM Trans. Design Autom. Electr. Syst., May, 2024

(Security) Assertions by Large Language Models.

Rahul Kande, Hammond Pearce, Benjamin Tan, Brendan Dolan-Gavitt, Shailja Thakur, Ramesh Karri, Jeyavijayan Rajendran

IEEE Trans. Inf. Forensics Secur., 2024

EnIGMA: Enhanced Interactive Generative Model Agent for CTF Challenges.

Talor Abramovich, Meet Udeshi, Minghao Shao, Kilian Lieret, Haoran Xi, Kimberly Milner, Sofija Jancheska, John Yang, Carlos E. Jimenez, Farshad Khorrami, Prashanth Krishnamurthy, Brendan Dolan-Gavitt, Muhammad Shafique, Karthik Narasimhan, Ramesh Karri, Ofir Press

CoRR, 2024

ARVO: Atlas of Reproducible Vulnerabilities for Open Source Software.

Xiang Mei, Pulkit Singh Singaria, Jordi Del Castillo, Haoran Xi, Abdelouahab Benchikh, Tiffany Bao, Ruoyu Wang, Yan Shoshitaishvili, Adam Doupé, Hammond Pearce, Brendan Dolan-Gavitt

CoRR, 2024

NYU CTF Dataset: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security.

Minghao Shao, Sofija Jancheska, Meet Udeshi, Brendan Dolan-Gavitt, Haoran Xi, Kimberly Milner, Boyuan Chen, Max Yin, Siddharth Garg, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Muhammad Shafique

CoRR, 2024

Model Cascading for Code: Reducing Inference Costs with Model Cascading for LLM Based Code Generation.

Boyuan Chen, Mingzhi Zhu, Brendan Dolan-Gavitt, Muhammad Shafique, Siddharth Garg

CoRR, 2024

An Empirical Evaluation of LLMs for Solving Offensive Security Challenges.

Minghao Shao, Boyuan Chen, Sofija Jancheska, Brendan Dolan-Gavitt, Siddharth Garg, Ramesh Karri, Muhammad Shafique

CoRR, 2024

Is "AI" Useful for Fuzzing? (Keynote).

Brendan Dolan-Gavitt

Proceedings of the 3rd ACM International Fuzzing Workshop, 2024

Fuzz to the Future: Uncovering Occluded Future Vulnerabilities via Robust Fuzzing.

Arvind S. Raj, Wil Gibbs, Fangzhou Dong, Jayakrishna Menon Vadayath, Michael Tompkins, Steven Wirsz, Yibo Liu, Zhenghao Hu, Chang Zhu, Gokulkrishna Praveen Menon, Brendan Dolan-Gavitt, Adam Doupé, Ruoyu Wang, Yan Shoshitaishvili, Tiffany Bao

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

Lost at C: Data from the Security-focused User Study.

Gustavo Sandoval, Hammond Pearce, Teo Nys, Ramesh Karri, Siddharth Garg, Brendan Dolan-Gavitt

Dataset, March, 2023

StarCoder: may the source be with you!

Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason T. Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries

Trans. Mach. Learn. Res., 2023

LLM-assisted Generation of Hardware Assertions.

Rahul Kande, Hammond Pearce, Benjamin Tan, Brendan Dolan-Gavitt, Shailja Thakur, Ramesh Karri, Jeyavijayan Rajendran

CoRR, 2023

Can deepfakes be created by novice users?

Pulak Mehta, Gauri Jagatap, Kevin Gallagher, Brian Timmerman, Progga Deb, Siddharth Garg, Rachel Greenstadt, Brendan Dolan-Gavitt

CoRR, 2023

Can Deepfakes be created on a whim?

Pulak Mehta, Gauri Jagatap, Kevin Gallagher, Brian Timmerman, Progga Deb, Siddharth Garg, Rachel Greenstadt, Brendan Dolan-Gavitt

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Lost at C: A User Study on the Security Implications of Large Language Model Code Assistants.

Gustavo Sandoval, Hammond Pearce, Teo Nys, Ramesh Karri, Siddharth Garg, Brendan Dolan-Gavitt

Proceedings of the 32nd USENIX Security Symposium, 2023

Examining Zero-Shot Vulnerability Repair with Large Language Models.

Hammond Pearce, Benjamin Tan, Baleegh Ahmad, Ramesh Karri, Brendan Dolan-Gavitt

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Homo in Machina: Improving Fuzz Testing Coverage via Compartment Analysis.

Joshua Bundt, Andrew Fasano, Brendan Dolan-Gavitt, William K. Robertson, Tim Leek

Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2023

Benchmarking Large Language Models for Automated Verilog RTL Code Generation.

Shailja Thakur, Baleegh Ahmad, Zhenxing Fan, Hammond Pearce, Benjamin Tan, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022

Lost at C: Data from the Security-focused User Study.

Gustavo Sandoval, Hammond Pearce, Teo Nys, Ramesh Karri, Siddharth Garg, Brendan Dolan-Gavitt

Dataset, October, 2022

Code and Dataset for "Examining Zero-Shot Vulnerability Repair with Large Language Models".

Hammond Pearce, Benjamin Tan, Baleegh Ahmad, Ramesh Karri, Brendan Dolan-Gavitt

Dataset, March, 2022

Beyond the C: Retargetable Decompilation using Neural Machine Translation.

Iman Hosseini, Brendan Dolan-Gavitt

CoRR, 2022

Security Implications of Large Language Model Code Assistants: A User Study.

Gustavo Sandoval, Hammond Pearce, Teo Nys, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg

CoRR, 2022

Pop Quiz! Can a Large Language Model Help With Reverse Engineering?

Hammond Pearce, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt

CoRR, 2022

Characterizing and Improving Bug-Finders with Synthetic Bugs.

Yu Hu, Zekun Shen, Brendan Dolan-Gavitt

Proceedings of the IEEE International Conference on Software Analysis, 2022

Drifuzz: Harvesting Bugs in Device Drivers from Golden Seeds.

Zekun Shen, Ritik Roongta, Brendan Dolan-Gavitt

Proceedings of the 31st USENIX Security Symposium, 2022

Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions.

Hammond Pearce, Baleegh Ahmad, Benjamin Tan, Brendan Dolan-Gavitt, Ramesh Karri

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

IRQDebloat: Reducing Driver Attack Surface in Embedded Devices.

Zhenghao Hu, Brendan Dolan-Gavitt

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

Towards Deceptive Defense in Software Security with Chaff Bugs.

Zhenghao Hu, Yu Hu, Brendan Dolan-Gavitt

Proceedings of the 25th International Symposium on Research in Attacks, 2022

2021

Copilot CWE Scenarios Dataset.

Hammond Pearce, Baleegh Ahmad, Benjamin Tan, Brendan Dolan-Gavitt, Ramesh Karri

Dataset, August, 2021

Can OpenAI Codex and Other Large Language Models Help Us Fix Security Bugs?

Hammond Pearce, Benjamin Tan, Baleegh Ahmad, Ramesh Karri, Brendan Dolan-Gavitt

CoRR, 2021

An Empirical Cybersecurity Evaluation of GitHub Copilot's Code Contributions.

Hammond Pearce, Baleegh Ahmad, Benjamin Tan, Brendan Dolan-Gavitt, Ramesh Karri

CoRR, 2021

NNoculation: Catching BadNets in the Wild.

Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

SoK: Enabling Security Analyses of Embedded Systems via Rehosting.

Andrew Fasano, Tiemoko Ballo, Marius Muench, Tim Leek, Alexander Bulekov, Brendan Dolan-Gavitt, Manuel Egele, Aurélien Francillon, Long Lu, Nick Gregory, Davide Balzarotti, William Robertson

Proceedings of the ASIA CCS '21: ACM Asia Conference on Computer and Communications Security, 2021

Evaluating Synthetic Bugs.

Joshua Bundt, Andrew Fasano, Brendan Dolan-Gavitt, William Robertson, Tim Leek

Proceedings of the ASIA CCS '21: ACM Asia Conference on Computer and Communications Security, 2021

2020

NNoculation: Broad Spectrum and Targeted Treatment of Backdoored DNNs.

Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg

CoRR, 2020

Automatic Uncovering of Hidden Behaviors From Input Validation in Mobile Apps.

Qingchuan Zhao, Chaoshun Zuo, Brendan Dolan-Gavitt, Giancarlo Pellegrino, Zhiqiang Lin

Proceedings of the 2020 IEEE Symposium on Security and Privacy, 2020

HeapExpo: Pinpointing Promoted Pointers to Prevent Use-After-Free Vulnerabilities.

Zekun Shen, Brendan Dolan-Gavitt

Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020

2019

The Rode0day to Less-Buggy Programs.

Andrew Fasano, Tim Leek, Brendan Dolan-Gavitt, Josh Bundt

IEEE Secur. Priv., 2019

BadNets: Evaluating Backdooring Attacks on Deep Neural Networks.

Tianyu Gu, Kang Liu, Brendan Dolan-Gavitt, Siddharth Garg

IEEE Access, 2019

2018

Chaff Bugs: Deterring Attackers by Making Software Buggier.

Zhenghao Hu, Yu Hu, Brendan Dolan-Gavitt

CoRR, 2018

Bug synthesis: challenging bug-finding tools with deep faults.

Subhajit Roy, Awanish Pandey, Brendan Dolan-Gavitt, Yu Hu

Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks.

Kang Liu, Brendan Dolan-Gavitt, Siddharth Garg

Proceedings of the Research in Attacks, Intrusions, and Defenses, 2018

Malrec: Compact Full-Trace Malware Recording for Retrospective Deep Analysis.

Giorgio Severi, Tim Leek, Brendan Dolan-Gavitt

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2018

Peeling the Onion's User Experience Layer: Examining Naturalistic Use of the Tor Browser.

Kevin Gallagher, Sameer Patil, Brendan Dolan-Gavitt, Damon McCoy, Nasir D. Memon

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2017

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain.

Tianyu Gu, Brendan Dolan-Gavitt, Siddharth Garg

CoRR, 2017

AutoCTF: Creating Diverse Pwnables via Automated Bug Injection.

Patrick Hulin, Andy Davis, Rahul Sridhar, Andrew Fasano, Cody Gallagher, Aaron Sedlacek, Tim Leek, Brendan Dolan-Gavitt

Proceedings of the 11th USENIX Workshop on Offensive Technologies, 2017

Lock-in-Pop: Securing Privileged Operating System Kernels by Keeping on the Beaten Path.

Yiwen Li, Brendan Dolan-Gavitt, Sam Weber, Justin Cappos

Proceedings of the 2017 USENIX Annual Technical Conference, 2017

2016

LAVA: Large-Scale Automated Vulnerability Addition.

Brendan Dolan-Gavitt, Patrick Hulin, Engin Kirda, Tim Leek, Andrea Mambretti, William K. Robertson, Frederick Ulrich, Ryan Whelan

Proceedings of the IEEE Symposium on Security and Privacy, 2016

2015

Understanding and protecting closed-source systems through dynamic analysis.

Brendan Dolan-Gavitt

PhD thesis, 2015

Repeatable Reverse Engineering with PANDA.

Brendan Dolan-Gavitt, Josh Hodosh, Patrick Hulin, Tim Leek, Ryan Whelan

Proceedings of the 5th Program Protection and Reverse Engineering Workshop, 2015

2013

Tappan Zee (north) bridge: mining memory accesses for introspection.

Brendan Dolan-Gavitt, Tim Leek, Josh Hodosh, Wenke Lee

Proceedings of the 2013 ACM SIGSAC Conference on Computer and Communications Security, 2013

2011

Virtuoso: Narrowing the Semantic Gap in Virtual Machine Introspection.

Brendan Dolan-Gavitt, Tim Leek, Michael Zhivich, Jonathon T. Giffin, Wenke Lee

Proceedings of the 32nd IEEE Symposium on Security and Privacy, 2011

2009

Robust signatures for kernel data structures.

Brendan Dolan-Gavitt, Abhinav Srivastava, Patrick Traynor, Jonathon T. Giffin

Proceedings of the 2009 ACM Conference on Computer and Communications Security, 2009

2008

Forensic analysis of the Windows registry in memory.

Brendan Dolan-Gavitt

Digit. Investig., 2008

2007

The VAD tree: A process-eye view of physical memory.

Brendan Dolan-Gavitt

Digit. Investig., 2007