Anonymity on QuickSand: Using BGP to Compromise Tor. - Laurent Vanbever; Oscar Li; Jennifer Rexford; Prateek Mittal (HotNets, 2014)

RAPTOR: Routing Attacks on Privacy in Tor. - Yixin Sun; Anne Edmundson; Laurent Vanbever; Oscar Li; Jennifer Rexford; Mung Chiang; Prateek Mittal (USENIX Security Symposium, 2015)

Deep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its Predictions. - Oscar Li; Hao Liu 015; Chaofan Chen; Cynthia Rudin (AAAI, 2018)

This looks like that: deep learning for interpretable image recognition. - Chaofan Chen; Oscar Li; Alina Barnett; Jonathan Su; Cynthia Rudin (CoRR, 2018)

Interpretable Image Recognition with Hierarchical Prototypes. - Peter Hase; Chaofan Chen; Oscar Li; Cynthia Rudin (HCOMP, 2019)

This Looks Like That: Deep Learning for Interpretable Image Recognition. - Chaofan Chen; Oscar Li; Daniel Tao; Alina Barnett; Cynthia Rudin; Jonathan Su (NeurIPS, 2019)

Is Support Set Diversity Necessary for Meta-Learning? - Amrith Setlur; Oscar Li; Virginia Smith (CoRR, 2020)

Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution. - Amrith Setlur; Oscar Li; Virginia Smith (NeurIPS, 2021)

Lessons from Chasing Few-Shot Learning Benchmarks: Rethinking the Evaluation of Meta-Learning Methods. - Amrith Setlur; Oscar Li; Virginia Smith (CoRR, 2021)

Label Leakage and Protection in Two-party Split Learning. - Oscar Li; Jiankai Sun; Xin Yang 017; Weihao Gao; Hongyi Zhang; Junyuan Xie; Virginia Smith; Chong Wang 002 (ICLR, 2022)

Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies. - Oscar Li; James Harrison; Jascha Sohl-Dickstein; Virginia Smith; Luke Metz (NeurIPS, 2023)

Noise-Reuse in Online Evolution Strategies. - Oscar Li; James Harrison; Jascha Sohl-Dickstein; Virginia Smith; Luke Metz (CoRR, 2023)

GRASS: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients. - Aashiq Muhamed; Oscar Li; David P. Woodruff; Mona T. Diab; Virginia Smith (EMNLP, 2024)

OmniPred: Language Models as Universal Regressors. - Xingyou Song; Oscar Li; Chansoo Lee; Bangding Yang; Daiyi Peng; Sagi Perel; Yutian Chen 001 (Trans. Mach. Learn. Res., 2024)