Brendan Dolan-Gavitt

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Siddharth GargNew York UniversityVerified email at nyu.edu
Tim LeekMIT Lincoln LaboratoryVerified email at ll.mit.edu
Ramesh Karri కర్రి రమేష్Professor of Electrical and Computer Engineering, New York UniversityVerified email at nyu.edu
Kang LiuHuazhong University of Science and TechnologyVerified email at hust.edu.cn
Hammond PearceUNSW School of Computer Science and EngineeringVerified email at unsw.edu.au
Benjamin TanAssistant Professor, University of CalgaryVerified email at ucalgary.ca
Tianyu GuNYU ECEVerified email at nyu.edu
Wenke LeeJohn P. Imlay Jr. Chair and Professor of Computer Science at Georgia TechVerified email at cc.gatech.edu
William RobertsonAssociate Professor of Computer Science, Northeastern UniversityVerified email at ccs.neu.edu
Baleegh AhmadPhD Candidate, New York UniversityVerified email at nyu.edu
Andrew FasanoMIT & Northeastern UniversityVerified email at mit.edu
Andrea MambrettiIBM Research Europe - ZurichVerified email at zurich.ibm.com
Engin KirdaNortheastern University and Lastline Inc. (co-founder)Verified email at ccs.neu.edu
Yu HuPhd student, NYUVerified email at nyu.edu
Michael ZhivichAkamai TechnologiesVerified email at akamai.com
Prashanth KrishnamurthyResearch Scientist, New York UniversityVerified email at nyu.edu
Farshad KhorramiProfessor of Electrical and Computer Engineering, NYUVerified email at nyu.edu
Kevin GallagherUniversidade NOVA de LisboaVerified email at fct.unl.pt
Patrick TraynorUniversity of FloridaVerified email at cise.ufl.edu
Abhinav SrivastavaGeorgia Institute of Technology, Indian Institute of Technology, AT&T Labs--ResearchVerified email at research.att.com

Brendan Dolan-Gavitt

New York University

Verified email at nyu.edu - Homepage

Security Machine Learning


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Badnets: Identifying vulnerabilities in the machine learning model supply chain T Gu, B Dolan-Gavitt, S Garg arXiv preprint arXiv:1708.06733, 2017	1227	2017
Fine-pruning: Defending against backdooring attacks on deep neural networks K Liu, B Dolan-Gavitt, S Garg International symposium on research in attacks, intrusions, and defenses …, 2018	766	2018
Badnets: Evaluating backdooring attacks on deep neural networks T Gu, K Liu, B Dolan-Gavitt, S Garg IEEE Access 7, 47230-47244, 2019	666	2019
Virtuoso: Narrowing the semantic gap in virtual machine introspection B Dolan-Gavitt, T Leek, M Zhivich, J Giffin, W Lee 2011 IEEE symposium on security and privacy, 297-312, 2011	414	2011
Lava: Large-scale automated vulnerability addition B Dolan-Gavitt, P Hulin, E Kirda, T Leek, A Mambretti, W Robertson, ... 2016 IEEE symposium on security and privacy (SP), 110-121, 2016	370	2016
Robust signatures for kernel data structures B Dolan-Gavitt, A Srivastava, P Traynor, J Giffin Proceedings of the 16th ACM conference on Computer and communications …, 2009	213	2009
Repeatable reverse engineering with PANDA B Dolan-Gavitt, J Hodosh, P Hulin, T Leek, R Whelan Proceedings of the 5th Program Protection and Reverse Engineering Workshop, 1-11, 2015	163	2015
Asleep at the keyboard? assessing the security of github copilot’s code contributions H Pearce, B Ahmad, B Tan, B Dolan-Gavitt, R Karri 2022 IEEE Symposium on Security and Privacy (SP), 754-768, 2022	155*	2022
Forensic analysis of the Windows registry in memory B Dolan-Gavitt digital investigation 5, S26-S32, 2008	132	2008
The VAD tree: A process-eye view of physical memory B Dolan-Gavitt digital investigation 4, 62-64, 2007	118	2007
Tappan zee (north) bridge: mining memory accesses for introspection B Dolan-Gavitt, T Leek, J Hodosh, W Lee Proceedings of the 2013 ACM SIGSAC conference on Computer & communications …, 2013	100	2013
Leveraging forensic tools for virtual machine introspection B Dolan-Gavitt, B Payne, W Lee Georgia Institute of Technology, Atlanta, Tech. Rep, 2011	79	2011
Examining zero-shot vulnerability repair with large language models H Pearce, B Tan, B Ahmad, R Karri, B Dolan-Gavitt 2023 IEEE Symposium on Security and Privacy (SP), 2339-2356, 2023	75*	2023
Bug synthesis: Challenging bug-finding tools with deep faults S Roy, A Pandey, B Dolan-Gavitt, Y Hu Proceedings of the 2018 26th ACM Joint Meeting on European Software …, 2018	66	2018
Security systems and methods for distinguishing user-intended traffic from malicious traffic BD Payne, B Dolan-Gavitt, W Lee US Patent App. 13/232,830, 2012	62	2012
Nnoculation: Catching badnets in the wild AK Veldanda, K Liu, B Tan, P Krishnamurthy, F Khorrami, R Karri, ... Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security …, 2021	56*	2021
StarCoder: may the source be with you! R Li, LB Allal, Y Zi, N Muennighoff, D Kocetkov, C Mou, M Marone, C Akiki, ... arXiv preprint arXiv:2305.06161, 2023	52	2023
Malrec: Compact Full-Trace Malware Recording for Retrospective Deep Analysis G Severi, T Leek, B Dolan-Gavitt Detection of Intrusions and Malware, and Vulnerability Assessment: 15th …, 2018	45	2018
{Lock-in-Pop}: Securing Privileged Operating System Kernels by Keeping on the Beaten Path Y Li, B Dolan-Gavitt, S Weber, J Cappos 2017 USENIX Annual Technical Conference (USENIX ATC 17), 1-13, 2017	41	2017
Repeatable reverse engineering for the greater good with panda BF Dolan-Gavitt, J Hodosh, P Hulin, T Leek, R Whelan	38	2014

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