Jeffrey Wang*, Jason Wang*, Marvin Li*, and Seth Neel. (2025). "Firm Foundations for Membership Inference Attacks Against Large Language Models." ICML Workshop on Data in Generative Models.
Miles Turpin, Andy Arditi, Marvin Li, Joe Benton, and Julian Michael. (2025). "Teaching Models to Verbalize Reward Hacking in Chain-of-Thought Reasoning." ICML Workshop on Reliable and Responsible Foundation Models.
Marvin Li, Aayush Karan, and Sitan Chen. (2025). "Blink of an Eye: A Simple Theory for Feature Localization in Generative Models." Proceedings of the 42nd International Conference on Machine Learning (ICML).
Sahil Kuchlous*, Marvin Li*, and Jeffrey G. Wang*. (2024). "Bias Begets Bias: The Impact of Biased Embeddings on Diffusion Models." ICML Workshop on Trustworthy Multi-modal Foundation Models and AI Agents.
Marvin Li and Sitan Chen. (2024). "Critical Windows: Non-Asymptotic Theory for Feature Emergence in Diffusion Models." Proceedings of the 41st International Conference on Machine Learning (ICML).
Marvin Li*, Jason Wang*, Jeffrey Wang*, and Seth Neel. (2023). "MOPE: Model Perturbation-based Privacy Attacks on Language Models." Proceedings of EMNLP 2023.
Marvin Li, Patricia Glibert, and Vyacheslav Lyubchich. (2021). "Machine Learning Classification Algorithms for Predicting Karenia brevis Blooms on the West Florida Shelf." Journal of Marine Science and Engineering, 9(9):999.
Group talk at Harvard ML Foundations,
Outreach at Harvard-MIT Mathematics Tournament,
Group talk at Donders Institute for Brain, Cognition, and Behaviour,
Outreach at Harvard-MIT Mathematics Tournament,