Dolan-Gavitt, Brendan
New York University
12 papers on CoChatORCID 0000-0002-8867-4282
Most cited papers
- Verified
BadNets: Evaluating Backdooring Attacks on Deep Neural Networks
Gu, T., Liu, K., Dolan-Gavitt, B., & Garg, S. (2019) · IEEE Access
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 1,238
- Verified
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
Gu, T., Dolan-Gavitt, B., & Garg, S. (2017) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 1,061
- Verified
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks
Liu, K., Dolan-Gavitt, B., & Garg, S. (2018) · Lecture Notes in Computer Science
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 1,055
- Verified
Asleep at the Keyboard? Assessing the Security of GitHub Copilot’s Code Contributions
Pearce, H., Ahmad, B., Tan, B., Dolan-Gavitt, B., & Karri, R. (2022) · 2022 IEEE Symposium on Security and Privacy (SP)
Software Engineering ResearchWeb Application Security Vulnerabilities
Cited by 476
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StarCoder: may the source be with you!
Li, R., Allal, L. B., Zi, Y., Muennighoff, N., Kocetkov, D., Mou, C., Marone, M., Akiki, C., Li, J., Chim, J., et al. (2023) · arXiv
Software Engineering ResearchTopic Modeling
Cited by 261
- Verified
Asleep at the keyboard? Assessing the security of GitHub copilot’s code contributions
Pearce, H., Ahmad, B., Tan, B., Dolan-Gavitt, B., & Karri, R. (2025) · Communications of the ACM
Software Engineering ResearchWeb Application Security Vulnerabilities
Cited by 140
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Lost at C: A User Study on the Security Implications of Large Language Model Code Assistants
Sandoval, G., Pearce, H., Nys, T., Karri, R., Garg, S., & Dolan-Gavitt, B. (2022) · arXiv
Software Engineering ResearchWeb Application Security Vulnerabilities
Cited by 52
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NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security
Shao, M., Jancheska, S., Udeshi, M., Dolan-Gavitt, B., Xi, H., Milner, K., Chen, B., Yin, M., Garg, S., Krishnamurthy, P., et al. (2024) · arXiv
Adversarial Robustness in Machine LearningNetwork Security and Intrusion Detection
Cited by 18
- Verified
Studying the Online Deepfake Community
Timmerman, B., Mehta, P., Deb, P., Gallagher, K., Dolan-Gavitt, B., Garg, S., & Greenstadt, R. (2023) · Journal of Online Trust and Safety
Misinformation and Its ImpactsEthics and Social Impacts of AI
Cited by 17
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Examining Zero-Shot Vulnerability Repair with Large Language Models
Pearce, H., Tan, B., Ahmad, B., Karri, R., & Dolan-Gavitt, B. (2021) · arXiv
Software Engineering ResearchSoftware Testing and Debugging Techniques
Cited by 17
- Verified
Pop Quiz! Can a Large Language Model Help With Reverse Engineering?
Pearce, H., Tan, B., Krishnamurthy, P., Khorrami, F., Karri, R., & Dolan-Gavitt, B. (2022) · arXiv
Software Engineering ResearchSecurity and Verification in Computing
Cited by 16
- Verified
Can Deepfakes be created on a whim?
Mehta, P., Jagatap, G., Gallagher, K., Timmerman, B., Deb, P., Garg, S., Greenstadt, R., & Dolan-Gavitt, B. (2023) · Companion Proceedings of the ACM Web Conference 2023
Digital Media Forensic DetectionMisinformation and Its Impacts
Cited by 5
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