| Badnets: Identifying vulnerabilities in the machine learning model supply chain T Gu, B Dolan-Gavitt, S Garg arXiv preprint arXiv:1708.06733, 2017 | 1696 | 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 | 1060 | 2018 |
| Badnets: Evaluating backdooring attacks on deep neural networks T Gu, K Liu, B Dolan-Gavitt, S Garg IEEE Access 7, 47230-47244, 2019 | 974 | 2019 |
| 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 | 457 | 2023 |
| 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 | 428 | 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 | 412 | 2016 |
| 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 | 357* | 2022 |
| 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 | 239* | 2023 |
| 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 | 218 | 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 | 186 | 2015 |
| Forensic analysis of the Windows registry in memory B Dolan-Gavitt digital investigation 5, S26-S32, 2008 | 136 | 2008 |
| The VAD tree: A process-eye view of physical memory B Dolan-Gavitt digital investigation 4, 62-64, 2007 | 125 | 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 | 110 | 2013 |
| Lost at c: A user study on the security implications of large language model code assistants G Sandoval, H Pearce, T Nys, R Karri, S Garg, B Dolan-Gavitt 32nd USENIX Security Symposium (USENIX Security 23), 2205-2222, 2023 | 98* | 2023 |
| Leveraging forensic tools for virtual machine introspection B Dolan-Gavitt, B Payne, W Lee Gt-cs-11-05, Georgia Institute of Technology, 2011 | 79 | 2011 |
| 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 | 75 | 2018 |
| 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 | 71* | 2021 |
| Danish Contractor R Li, LB Allal, Y Zi, N Muennighoff, D Kocetkov, C Mou, M Marone, C Akiki, ... Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz …, 2023 | 70 | 2023 |
| Benchmarking large language models for automated verilog rtl code generation S Thakur, B Ahmad, Z Fan, H Pearce, B Tan, R Karri, B Dolan-Gavitt, ... 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023 | 67 | 2023 |
| 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 | 66 | 2012 |
Siddharth GargNew York UniversityVerified email at nyu.edu
