Pura Peetathawatchai
M.S. Computer Science at Stanford University
pura [AT] stanford.edu
Bio
I am a final-year MSCS student at Stanford University interested in the intersection of AI and computer security. My research focuses on machine learning privacy, with an emphasis on differential privacy, membership inference attacks, and the privacy of diffusion models. I am also interested in the future role of AI in the computer security landscape, especially in identifying new vulnerabilities and developing new exploits. My broader interests include cryptography and how technology can be used to combat climate change and economic inequality. I am doing research at Stanford Trustworthy AI Research (STAIR) with Prof. Sanmi Koyejo. I also did research at AI for Climate Change with Prof. Andrew Ng, and worked on Cybench: a benchmark for evaluating the cybersecurity capabilities and risk of language models with Profs. Percy Liang, Dan Boneh, and Daniel E. Ho.
I received my undergraduate degree from Cornell University in 2022, double majoring in Mathematics and Computer Science. At Cornell, I was advised by Prof. Joe Halpern and did research on post-quantum cryptography with Prof. Noah Stephens-Davidowitz. I was also a junior inductee into the Phi Beta Kappa honors society, an honor reserved for the top 3% of the graduating class.
I am from Bangkok, Thailand, but am currently based in Stanford, California.
Publications
‡ indicates equal contribution.
Differentially Private Adaptation of Diffusion Models via Noisy Aggregated Embeddings
Pura Peetathawatchai, Wei-Ning Chen, Berivan Isik, Sanmi Koyejo, Albert No
Preprint, 2024
Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risk of Language Models
Andy Zhang, Neil Perry, Riya Dulepet, Eliot Jones, Justin Lin, Joey Ji, Celeste Menders, Gashon Hussein, Samantha Liu, Donovan Jasper, Pura Peetathawatchai, Ari Glenn, Vikram Sivashankar, Daniel Zamoshchin, Leo Glikbarg, Derek Askaryar, Mike Yang, Teddy Zhang, Rishi Alluri, Nathan Tran, Rinnara Sangpisit, Polycarpos Yiorkadjis, Kenny Osele, Gautham Raghupathi, Dan Boneh, Daniel E. Ho, Percy Liang
Preprint, 2024
On Fairness of Low-Rank Adaptation of Large Models
Zhoujie Ding‡, Ken Ziyu Liu‡, Pura Peetathawatchai, Berivan Isik, Sanmi Koyejo
Conference on Language Modeling (COLM), 2024
Just how hard are rotations of Zn? Algorithms and cryptography with the simplest lattice
Huck Bennett, Atul Ganju, Pura Peetathawatchai, Noah Stephens-Davidowitz
International Conference on the Theory and Applications of Cryptographic Techniques (Eurocrypt), 2023
Teaching
Slides from a talk on AI security and privacy that I gave to Siametrics Consulting during my Summer 2024 internship.Cornell University (as TA)
CS 4830/5830 (Spring 2022): Introduction to Cryptography
CS 2802 (Spring 2020): Discrete Structures - Honors
CS 1110 (Fall 2019): Introduction to Computing with Python
CV
Full CV in PDF (as of December 2024).
Misc
Outside of academics, I have a lot of hobbies (and struggle with finding the time to do them all):
- 🌲 Hiking, taking photos, and connecting with nature
- 🎮 Video games (especially JRPGs and story-based single-player games: my favorites so far include Fire Emblem, Pokémon, NieR: Automata, Omori, Hollow Knight, and Final Fantasy VII)
- 📚 Anime/manga (mostly 2010s pre-Netflix stuff: favorites include Terror in Resonance, Psycho Pass, Death Parade, March Comes In Like A Lion, Attack on Titan, Tokyo Ghoul, and Assassination Classroom)
- 🎧 Electronic music (mainly progressive house, melodic techno, and dark/hard techno), attending nightclubs and music festivals, and learning how to DJ. Favorite artists: Porter Robinson, Tale of Us, Qrion, EMBRZ, SCRIPT, i_o
- ✏️ Learning to use AI tools to help write fiction and generate aesthetic images
- 💭 Pondering about random abstract and philosophical things
- 🤪 Reddit and dumb memes
- 🦈 Swimming
This website uses the website design and template by Martin Saveski (though I made quite a few adjustments).
Last updated: December 2024