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Hello, my name is Dzung Pham and I'm a 4th-year Computer Science PhD candidate at University of Massachusetts Amherst, where I'm researching secure, private, and trustworthy AI/ML and systems with Prof. Amir Houmansadr and Prof. Eugene Bagdasarian. I'm interested in ensuring that the everyday user can get access to AI technology with security and privacy guarantees. Previously, I worked as a Software Engineer at Meta, Inc (formerly known as Facebook), where I applied ML to protect users of Facebook Marketplace from fraud, scam and harassment. I graduated from Williams College in 2020 with a degree in Computer Science and Statistics. I was advised by Prof. Richard De Veaux for my senior thesis. I also had the pleasure of working closely with Prof. Daniel Barowy and Prof. Duane Bailey. Email / CV (2026) / Google Scholar / Github / LinkedIn |
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09/02/25: I am teaching CS 110: Foundations of Programming at UMass!
05/26/25: I will be working as a CS PhD intern at Brave Software on LLMs and agents for the summer! 01/30/25: I'm organizing a seminar on AI Security with Prof. Eugene Bagdasarian at UMass. Check out the speaker roster at UMass AISec! |
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Dzung Pham, Peter Kairouz, Niloofar Mireshghallah, Eugene Bagdasarian, Chau Minh Pham, Amir Houmansadr ACM FAccT 2026 (Position paper accepted at PrivaCI 2025) arXiv / github |
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Chau Minh Pham, Jenna Russell, Dzung Pham, Mohit Iyyer Under review arXiv |
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Dzung Pham, Jade Sheffey, Chau Minh Pham, Amir Houmansadr Under review arXiv / github / MADWeb 2025 |
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Dzung Pham, Shreyas Kulkarni, Amir Houmansadr NDSS 2025 arXiv / github |
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Quan Do, Kiersten Campbell, Emmie Hine, Dzung Pham, Alex Taylor, Iris Howley, Daniel W. Barowy SPLASH-E 2019 project page / paper |
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Some projects that I'm actively maintaining: |
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A Github curation of all papers related to the use of LLMs for privacy from 2023 onward. |
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Some fun projects that I did during my undergrad: |
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I trained a two-stream Convolutional Neural Net to detect people falling from video input, with transfer learning from MobileNetV2 and Motion History Image in place of the optical flow stream. This project won the 2019 Ward Prize for Best Project in Computer Science at Williams College. |
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I trained a Convolutional Neural Net to detect facial emotion from images, then built a program to do so in real-time via webcam. This was my final project for Artificial Intelligence. Trivia: the emotion 'Disgusted' was the hardest to detect, and also the hardest to recreate. |
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I implemented the Lucas-Kanade optical flow algorithm for GPU using CUDA C. This was my final project for Parallel Processing. |
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I created an Arduino-powered cloth bracer that can record and replay tapping patterns. The most important thing I learned from this project was how to sew and embroider, probably. |
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I have been playing the classical guitar unprofessionally since grade 9, with a bit of flamenco and fingerstyle here and there. The proudest piece in my repertoire is Koyunbaba by Carlo Domeniconi. I had the honor of studying under Robert Phelps - a true professional guitarist. I also enjoy playing chess (started in 2021). You can find me on chess.com and lichess. |
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This website was based on here. |