Minh Pham

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I expect to graduate in 2026 and am actively seeking research scientist/engineer positions. If my expertise aligns with your needs, please feel free to contact me via email to request my latest resume.

I am a final year Ph.D. Candidate at New York University, under the supervision of Prof. Chinmay Hegde, and part of the Algorithms and Foundations Group. Prior to this, I obtained dual Bachelor’s degrees in Computer Science and Mathematical Sciences from Worcester Polytechnic Institute. During my undergraduate studies, I had the privilege of being mentored by Prof. Jacob Whitehill.

Research: The goal of my research is to build algorithms that make deep neural networks safer and easier to use. In particular, my current works center on understanding memorization in text-to-image generative models and how to mitigate it. Furthermore, I have dedicated efforts to fortify DNNs against adversarial attacks, distributional shifts, and label noise.

news

Sep 18, 2025 Our work on understanding and characterizing concept erasure methods in text-to-image models has been accepted at NeurIPS 2025.
May 12, 2025 I joined Amazon as an Applied Scientist Intern.
Dec 15, 2024 We are organizing the workshop on “Red Teaming GenAI: What Can We Learn from Adversaries?” at NeurIPS 2024. Check out the workshop website.
Sep 16, 2024 I joined Amazon as an Applied Scientist Intern.
May 13, 2024 I joined Snowflake as a Research Intern.
Feb 26, 2024 One paper accepted to CVPR 2024!
Jan 15, 2024 Our work on the vulnerability of concept erasure methods is out on is accepted to ICLR 2024. Check out our project website!