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Sangdon Park

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MedBN: Robust Test-Time Adaptation against Malicious Test Samples

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Mar 28, 2024
Hyejin Park, Jeongyeon Hwang, Sunung Mun, Sangdon Park, Jungseul Ok

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PAC Prediction Sets Under Label Shift

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Oct 19, 2023
Wenwen Si, Sangdon Park, Insup Lee, Edgar Dobriban, Osbert Bastani

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PAC Neural Prediction Set Learning to Quantify the Uncertainty of Generative Language Models

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Jul 18, 2023
Sangdon Park, Taesoo Kim

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TRAC: Trustworthy Retrieval Augmented Chatbot

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Jul 07, 2023
Shuo Li, Sangdon Park, Insup Lee, Osbert Bastani

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ACon$^2$: Adaptive Conformal Consensus for Provable Blockchain Oracles

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Nov 17, 2022
Sangdon Park, Osbert Bastani, Taesoo Kim

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Unsafe's Betrayal: Abusing Unsafe Rust in Binary Reverse Engineering toward Finding Memory-safety Bugs via Machine Learning

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Oct 31, 2022
Sangdon Park, Xiang Cheng, Taesoo Kim

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CODiT: Conformal Out-of-Distribution Detection in Time-Series Data

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Jul 24, 2022
Ramneet Kaur, Kaustubh Sridhar, Sangdon Park, Susmit Jha, Anirban Roy, Oleg Sokolsky, Insup Lee

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PAC Prediction Sets for Meta-Learning

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Jul 06, 2022
Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani

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Towards PAC Multi-Object Detection and Tracking

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Apr 15, 2022
Shuo Li, Sangdon Park, Xiayan Ji, Insup Lee, Osbert Bastani

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iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection

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Jan 07, 2022
Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee

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