Axiomatic attribution for multilinear functions. - Yi Sun 010; Mukund Sundararajan (EC, 2011)

Metric recovery from directed unweighted graphs. - Tatsunori B. Hashimoto; Yi Sun 010; Tommi S. Jaakkola (AISTATS, 2015)

From random walks to distances on unweighted graphs. - Tatsunori B. Hashimoto; Yi Sun 010; Tommi S. Jaakkola (NIPS, 2015)

Transfer of Adversarial Robustness Between Perturbation Types. - Daniel Kang; Yi Sun 010; Tom Brown; Dan Hendrycks; Jacob Steinhardt (CoRR, 2019)

Testing Robustness Against Unforeseen Adversaries. - Daniel Kang; Yi Sun 010; Dan Hendrycks; Tom Brown; Jacob Steinhardt (CoRR, 2019)

Data augmentation as stochastic optimization. - Boris Hanin; Yi Sun 010 (CoRR, 2020)

How Data Augmentation affects Optimization for Linear Regression. - Boris Hanin; Yi Sun 010 (NeurIPS, 2021)

Maximum likelihood for high-noise group orbit estimation and single-particle cryo-EM. - Zhou Fan; Roy R. Lederman; Yi Sun 010; Tianhao Wang 017; Sheng Xu (CoRR, 2021)

Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates. - Daniel Kang; John Guibas; Peter Bailis; Tatsunori Hashimoto; Yi Sun 010; Matei Zaharia (CoRR, 2021)

Accelerating Approximate Aggregation Queries with Expensive Predicates. - Daniel Kang; John Guibas; Peter Bailis; Tatsunori Hashimoto; Yi Sun 010; Matei Zaharia (Proc. VLDB Endow., 2021)

Scaling up Trustless DNN Inference with Zero-Knowledge Proofs. - Daniel Kang; Tatsunori Hashimoto; Ion Stoica; Yi Sun 010 (CoRR, 2022)

ZK-IMG: Attested Images via Zero-Knowledge Proofs to Fight Disinformation. - Daniel Kang; Tatsunori Hashimoto; Ion Stoica; Yi Sun 010 (CoRR, 2022)

Accelerating Aggregation Queries on Unstructured Streams of Data. - Matthew Russo; Tatsunori Hashimoto; Daniel Kang; Yi Sun 010; Matei Zaharia (Proc. VLDB Endow., 2023)

Trustless Audits without Revealing Data or Models. - Suppakit Waiwitlikhit; Ion Stoica; Yi Sun 010; Tatsunori Hashimoto; Daniel Kang (ICML, 2024)