I am a Computer Science PhD student at ETH Zurich's Secure and Private AI (SPY) Lab, under the supervision of Prof. Florian Tramèr. My research focuses on the intersection of AI and computer security, with an emphasis on machine learning privacy, generative image models, and the evolving role of AI in the cybersecurity landscape. My broader interests include cryptography and how technology can be used to combat climate change and economic inequality.
I completed my Master’s in Computer Science at Stanford University, specializing in Computer and Network Security, though most of my research work was in the AI space. Notably, I did research at the Stanford Trustworthy AI Research (STAIR) Lab with Prof. Sanmi Koyejo, AI for Climate Change with Prof. Andrew Ng, and worked on Cybench—a benchmark for evaluating the cybersecurity capabilities and risks of language models—with Profs. Percy Liang, Dan Boneh, and Daniel E. Ho.
I received my undergraduate degree from Cornell University, where I double majored in Mathematics and Computer Science. At Cornell, I was advised by Prof. Joe Halpern and conducted 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 Zurich, Switzerland.
‡ indicates equal contribution.
Differentially Private Adaptation of Diffusion Models via Noisy Aggregated Embeddings
Pura Peetathawatchai, Wei-Ning Chen, Berivan Isik, Sanmi Koyejo, Albert No
Preliminary version presented at the Theory and Practice of Differential Privacy (TPDP) Workshop, 2025.
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
International Conference on Learning Representations (ICLR), 2025
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
CS 4830/5830 (Spring 2022): Introduction to Cryptography
CS 2802 (Spring 2020): Discrete Structures - Honors
CS 1110 (Fall 2019): Introduction to Computing with Python
Slides from a talk on AI security and privacy that I gave to Siametrics Consulting during my Summer 2024 internship.
I also tutor high-school maths, physics, and computer science, and offer consulting on U.S. university applications.
Full CV in PDF (as of March 2025, while I was still at Stanford).
Outside of academics, I have a lot of hobbies (and struggle with finding the time to do them all):
Check out this simple bare-metal Raspberry Pi Zero kernel I implemented from scratch using Rust!
This website uses the website design and template by Martin Saveski (though I made quite a few adjustments).
Last updated: September 2025