PhD Student in Computer Engineering at University of Toronto
Hi!
Welcome to my personal homepage. This is Kexin Li (Cassie). I am a PhD student in Computer Engineering at the University of Toronto, supervised by Prof. David Lie. My research focuses on Trustworthy Machine Learning and Systems Security, with emphasis on building secure and privacy-preserving ML systems, watermarking for intellectual property protection and AI-generated content detection, and adversarial robustness. Here is my Curriculum Vitae (Last Update: Dec 14, 2025).
I can speak four languages: English, Mandarin, Korean, and French. My personal interests are cats, Muay Thai 🥊, Brazilian Jiu-jitsu 🔵, pilates 🤸🏽♀️, gym, painting, and cooking.
Recent News
Dec 10, 2025
Promoted to Brazilian Jiu-jitsu Blue Belt with Most Technically Improved Student Award 🥋🏆
November 26, 2025
New preprint "HMARK: Radioactive Multi-Bit Semantic-Latent Watermarking for Diffusion Models" now available on arXiv
November 26, 2025
New preprint "HarmonicAttack: An Adaptive Cross-Domain Audio Watermark Removal" now available on arXiv
November 8, 2025
Won gold medal in Godai Jiu-jitsu Open Gi & No-Gi Championship 🥇
July 2025
Nominated as NeurIPS Conference Ethics Reviewer for Research Track and Datasets and Benchmarks Track
New preprint "LDPKiT: Superimposing Remote Queries for Privacy-Preserving Local Model Training" now available on arXiv
September 2024
Started PhD in Computer Engineering at University of Toronto
June 2024
Successfully defended Master's thesis "Recovering Utility in LDP Schemes by Training with Noise^2" 🎓
April 2023
Paper "Provenance of Training without Training Data" accepted to WWW '23
September 2022
Joined TossLab as a graduate student
June 2022
Graduated with High Honours from University of Toronto (Bachelor of Applied Science in Computer Engineering, Minor in Artificial Intelligence, CGPA: 3.91/4.0) 🎓
June 2022
Awarded Certificate of Distinction for Capstone Project (PixelArt), University of Toronto 🏆
May 2020
Joined Intel (now altera) as Software Engineer Intern
December 2019
Paper "High-Level Synthesis Techniques to Generate Deeply Pipelined Circuits for FPGAs with Registered Routing" accepted to ICFPT 2019
May 2019
Awarded University of Toronto Excellence Summer Research Award (one of 4 recipients) 🏆
September 2017
Started my Bachelor of Applied Science in Computer Engineering at University of Toronto
June 2017
Graduated from Nanchang No.2 High School Sino-Canadian Program with Governor General's Award 🎓🏅