Brendan Dolan-Gavitt

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 47

Top Venues

CoRR

IEEE Symposium on Security and Privacy

AsiaCCS

RAID

Georgia Institute of Technology, Atlanta, GA, USA (PHD)

Education History

Georgia Institute of Technology, Atlanta, GA, USA

PHD

Publications

Shailja Thakur, Baleegh Ahmad, Hammond Pearce, Benjamin Tan, Brendan Dolan-Gavitt, Ramesh Karri, Siddharth Garg
VeriGen: A Large Language Model for Verilog Code Generation. ACM Trans. Design Autom. Electr. Syst. 29 (3) (2024)
Minghao Shao, Boyuan Chen, Sofija Jancheska, Brendan Dolan-Gavitt, Siddharth Garg, Ramesh Karri, Muhammad Shafique
An Empirical Evaluation of LLMs for Solving Offensive Security Challenges. CoRR (2024)
Rahul Kande, Hammond Pearce, Benjamin Tan, Brendan Dolan-Gavitt, Shailja Thakur, Ramesh Karri, Jeyavijayan Rajendran
(Security) Assertions by Large Language Models. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Boyuan Chen, Mingzhi Zhu, Brendan Dolan-Gavitt, Muhammad Shafique, Siddharth Garg
Model Cascading for Code: Reducing Inference Costs with Model Cascading for LLM Based Code Generation. CoRR (2024)
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
NYU CTF Dataset: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security. CoRR (2024)
Gustavo Sandoval, Hammond Pearce, Teo Nys, Ramesh Karri, Siddharth Garg, Brendan Dolan-Gavitt
Lost at C: A User Study on the Security Implications of Large Language Model Code Assistants. USENIX Security Symposium (2023)
Joshua Bundt, Andrew Fasano, Brendan Dolan-Gavitt, William K. Robertson, Tim Leek
Homo in Machina: Improving Fuzz Testing Coverage via Compartment Analysis. ICST (2023)
Pulak Mehta, Gauri Jagatap, Kevin Gallagher, Brian Timmerman, Progga Deb, Siddharth Garg, Rachel Greenstadt, Brendan Dolan-Gavitt
Can Deepfakes be created on a whim? WWW (Companion Volume) (2023)
Rahul Kande, Hammond Pearce, Benjamin Tan, Brendan Dolan-Gavitt, Shailja Thakur, Ramesh Karri, Jeyavijayan Rajendran
LLM-assisted Generation of Hardware Assertions. CoRR (2023)
Hammond Pearce, Benjamin Tan, Baleegh Ahmad, Ramesh Karri, Brendan Dolan-Gavitt
Examining Zero-Shot Vulnerability Repair with Large Language Models. SP (2023)
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 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
StarCoder: may the source be with you! CoRR (2023)
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, 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
StarCoder: may the source be with you! Trans. Mach. Learn. Res. 2023 (2023)
Shailja Thakur, Baleegh Ahmad, Zhenxing Fan, Hammond Pearce, Benjamin Tan, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg
Benchmarking Large Language Models for Automated Verilog RTL Code Generation. DATE (2023)
Pulak Mehta, Gauri Jagatap, Kevin Gallagher, Brian Timmerman, Progga Deb, Siddharth Garg, Rachel Greenstadt, Brendan Dolan-Gavitt
Can deepfakes be created by novice users? CoRR (2023)
Shailja Thakur, Baleegh Ahmad, Hammond Pearce, Benjamin Tan, Brendan Dolan-Gavitt, Ramesh Karri, Siddharth Garg
VeriGen: A Large Language Model for Verilog Code Generation. CoRR (2023)
Hammond Pearce, Benjamin Tan, Baleegh Ahmad, Ramesh Karri, Brendan Dolan-Gavitt
Examining Zero-Shot Vulnerability Repair with Large Language Models. SP (2023)
Joshua Bundt, Andrew Fasano, Brendan Dolan-Gavitt, William K. Robertson, Tim Leek
Homo in Machina: Improving Fuzz Testing Coverage via Compartment Analysis. CoRR (2022)
Yu Hu, Zekun Shen, Brendan Dolan-Gavitt
Characterizing and Improving Bug-Finders with Synthetic Bugs. SANER (2022)
Zhenghao Hu, Brendan Dolan-Gavitt
IRQDebloat: Reducing Driver Attack Surface in Embedded Devices. IEEE Symposium on Security and Privacy (2022)
Hammond Pearce, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt
Pop Quiz! Can a Large Language Model Help With Reverse Engineering? CoRR (2022)
Hammond Pearce, Baleegh Ahmad, Benjamin Tan, Brendan Dolan-Gavitt, Ramesh Karri
Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions. IEEE Symposium on Security and Privacy (2022)
Zekun Shen, Ritik Roongta, Brendan Dolan-Gavitt
Drifuzz: Harvesting Bugs in Device Drivers from Golden Seeds. USENIX Security Symposium (2022)
Zhenghao Hu, Yu Hu, Brendan Dolan-Gavitt
Towards Deceptive Defense in Software Security with Chaff Bugs. RAID (2022)
Gustavo Sandoval, Hammond Pearce, Teo Nys, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg
Security Implications of Large Language Model Code Assistants: A User Study. CoRR (2022)
Joshua Bundt, Andrew Fasano, Brendan Dolan-Gavitt, William K. Robertson, Tim Leek
Evaluating Synthetic Bugs. CoRR (2022)
Iman Hosseini, Brendan Dolan-Gavitt
Beyond the C: Retargetable Decompilation using Neural Machine Translation. CoRR (2022)
Shailja Thakur, Baleegh Ahmad, Zhenxing Fan, Hammond Pearce, Benjamin Tan, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg
Benchmarking Large Language Models for Automated Verilog RTL Code Generation. CoRR (2022)
Joshua Bundt, Andrew Fasano, Brendan Dolan-Gavitt, William Robertson, Tim Leek
Evaluating Synthetic Bugs. AsiaCCS (2021)
Hammond Pearce, Benjamin Tan, Baleegh Ahmad, Ramesh Karri, Brendan Dolan-Gavitt
Can OpenAI Codex and Other Large Language Models Help Us Fix Security Bugs? CoRR (2021)
Hammond Pearce, Baleegh Ahmad, Benjamin Tan, Brendan Dolan-Gavitt, Ramesh Karri
An Empirical Cybersecurity Evaluation of GitHub Copilot's Code Contributions. CoRR (2021)
Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg
NNoculation: Catching BadNets in the Wild. AISec@CCS (2021)
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
SoK: Enabling Security Analyses of Embedded Systems via Rehosting. AsiaCCS (2021)
Qingchuan Zhao, Chaoshun Zuo, Brendan Dolan-Gavitt, Giancarlo Pellegrino, Zhiqiang Lin
Automatic Uncovering of Hidden Behaviors From Input Validation in Mobile Apps. IEEE Symposium on Security and Privacy (2020)
Zekun Shen, Brendan Dolan-Gavitt
HeapExpo: Pinpointing Promoted Pointers to Prevent Use-After-Free Vulnerabilities. ACSAC (2020)
Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg
NNoculation: Broad Spectrum and Targeted Treatment of Backdoored DNNs. CoRR (2020)
Andrew Fasano, Tim Leek, Brendan Dolan-Gavitt, Josh Bundt
The Rode0day to Less-Buggy Programs. IEEE Secur. Priv. 17 (6) (2019)
Tianyu Gu, Kang Liu, Brendan Dolan-Gavitt, Siddharth Garg
BadNets: Evaluating Backdooring Attacks on Deep Neural Networks. IEEE Access 7 (2019)
Kang Liu, Brendan Dolan-Gavitt, Siddharth Garg
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks. CoRR (2018)
Kang Liu, Brendan Dolan-Gavitt, Siddharth Garg
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks. RAID (2018)
Kevin Gallagher, Sameer Patil, Brendan Dolan-Gavitt, Damon McCoy, Nasir D. Memon
Peeling the Onion's User Experience Layer: Examining Naturalistic Use of the Tor Browser. CCS (2018)
Giorgio Severi, Tim Leek, Brendan Dolan-Gavitt
Malrec: Compact Full-Trace Malware Recording for Retrospective Deep Analysis. DIMVA (2018)
Subhajit Roy, Awanish Pandey, Brendan Dolan-Gavitt, Yu Hu
Bug synthesis: challenging bug-finding tools with deep faults. ESEC/SIGSOFT FSE (2018)
Zhenghao Hu, Yu Hu, Brendan Dolan-Gavitt
Chaff Bugs: Deterring Attackers by Making Software Buggier. CoRR (2018)
Yiwen Li, Brendan Dolan-Gavitt, Sam Weber, Justin Cappos
Lock-in-Pop: Securing Privileged Operating System Kernels by Keeping on the Beaten Path. USENIX Annual Technical Conference (2017)
Patrick Hulin, Andy Davis, Rahul Sridhar, Andrew Fasano, Cody Gallagher, Aaron Sedlacek, Tim Leek, Brendan Dolan-Gavitt
AutoCTF: Creating Diverse Pwnables via Automated Bug Injection. WOOT (2017)
Tianyu Gu, Brendan Dolan-Gavitt, Siddharth Garg
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain. CoRR (2017)
Brendan Dolan-Gavitt, Patrick Hulin, Engin Kirda, Tim Leek, Andrea Mambretti, William K. Robertson, Frederick Ulrich, Ryan Whelan
LAVA: Large-Scale Automated Vulnerability Addition. IEEE Symposium on Security and Privacy (2016)
Brendan Dolan-Gavitt, Josh Hodosh, Patrick Hulin, Tim Leek, Ryan Whelan
Repeatable Reverse Engineering with PANDA. PPREW@ACSAC (2015)
Brendan Dolan-Gavitt, Tim Leek, Josh Hodosh, Wenke Lee
Tappan Zee (north) bridge: mining memory accesses for introspection. CCS (2013)
Brendan Dolan-Gavitt, Tim Leek, Michael Zhivich, Jonathon T. Giffin, Wenke Lee
Virtuoso: Narrowing the Semantic Gap in Virtual Machine Introspection. IEEE Symposium on Security and Privacy (2011)
Brendan Dolan-Gavitt, Abhinav Srivastava, Patrick Traynor, Jonathon T. Giffin
Robust signatures for kernel data structures. CCS (2009)
Brendan Dolan-Gavitt
Forensic analysis of the Windows registry in memory. Digit. Investig. 5 (Supplement) (2008)
Brendan Dolan-Gavitt
The VAD tree: A process-eye view of physical memory. Digit. Investig. 4 (Supplement) (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Brendan Dolan-Gavitt