Garg, Siddharth

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

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

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

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

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

R-LPIPS: An Adversarially Robust Perceptual Similarity Metric

Ghazanfari, S., Garg, S., Krishnamurthy, P., Khorrami, F., & Araujo, A. (2023) · arXiv

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 15

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