🚀 2025

Retrieval-Augmented Generation with Estimation of Source Reliability
Jeongyeon Hwang, Junyoung Park, Hyejin Park, Dongwoo Kim, Sangdon Park, Jungseul Ok
Empirical Methods in Natural Language Processing (EMNLP), 2025
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ChronoBias: A Benchmark for Evaluating Temporal Group Bias in Retrieval-augmented Language Models
Kyungmin Kim, Youngbin Choi, Hyounghun Kim, Dongwoo Kim, Sangdon Park
Empirical Methods in Natural Language Processing (EMNLP Findings), 2025
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Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning
Saemi Moon, Minjong Lee, Sangdon Park, Dongwoo Kim
International Conference on Computer Vision (ICCV), 2025
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Selective Code Generation for Functional Guarantees
Jaewoo Jeong, Taesoo Kim, Sangdon Park
2025
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A Regret Perspective on Online Selective Generation
Minjae Lee, Yoonjae Jung, Sangdon Park
2025
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SOUNDBOOST: Effective RCA and Attack Detection for UAV via Acoustic Side-Channel
Haoran Wang, Zheng Yang, Sangdon Park, Yibin Yang, Seulbae Kim, Willian Lunardi, Martin Andreoni, Taesoo Kim, Wenke Lee
International Conference on Dependable Systems and Networks (DSN), 2025
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🚀 2024

Selective Generation for Controllable Language Models
Minjae Lee, Kyungmin Kim, Taesoo Kim, Sangdon Park
Neural Information Processing Systems (NeurIPS, Spotlight - top 2.08%), 2024
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TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction
Shuo Li, Sangdon Park, Insup Lee, Osbert Bastani
North American Chapter of the Association for Computational Linguistics (NAACL), 2024
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MedBN: Robust Test Time Adaptation against Malicious Test Samples
Hyejin Park, Jeongyeon Hwang, Sunung Mun, Sangdon Park, Jungseul Ok
Computer Vision and Pattern Recognition (CVPR), 2024
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PAC Prediction Sets Under Label Shift
Wenwen Si, Sangdon Park, Insup Lee, Edgar Dobriban, Osbert Bastani
International Conference on Learning Representations (ICLR), 2024
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🚀 2023

Angelic Patches for Improving Third-Party Object Detector Performance
Wenwen Si, Shuo Li, Sangdon Park, Insup Lee, Osbert Bastani
Computer Vision and Pattern Recognition (CVPR), 2023
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ACon$^2$: Adaptive Conformal Consensus for Provable Blockchain Oracles
Sangdon Park, Osbert Bastani, Taesoo Kim
USENIX Security Symposium (Security), 2023
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CODiT: Conformal Out-of-Distribution Detection in Time-Series Data for Cyber-Physical Systems
Ramneet Kaur, Kaustubh Sridhar, Sangdon Park, Yahan Yang, Susmit Jha, Anirban Roy, Oleg Sokolsky, Insup Lee
International Conference on Cyber-Physical Systems (ICCPS), 2023
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🚀 2022

PAC Prediction Sets for Meta-Learning
Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani
Neural Information Processing Systems (NeurIPS), 2022
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Sequential Covariate Shift Detection Using Classifier Two-Sample Tests
Sooyong Jang, Sangdon Park, Insup Lee, Osbert Bastani
International Conference on Machine Learning (ICML), 2022
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PAC Prediction Sets Under Covariate Shift
Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani
International Conference on Learning Representations (ICLR), 2022
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Unsafe's Betrayal: Abusing Unsafe Rust in Binary Reverse Engineering via Machine Learning
Sangdon Park, Xiang Cheng, Taesoo Kim
2022
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Towards PAC Multi-Object Detection and Tracking
Shuo Li, Sangdon Park, Xiayan Ji, Insup Lee, Osbert Bastani
2022
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🚀 2021

PAC Confidence Predictions for Deep Neural Network Classifiers
Sangdon Park, Shuo Li, Insup Lee, Osbert Bastani
International Conference on Learning Representations (ICLR), 2021
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iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection
Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee
Association for the Advancement of Artificial Intelligence (AAAI), 2021
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🚀 2020

Calibrated prediction with covariate shift via unsupervised domain adaptation
Sangdon Park, Osbert Bastani, James Weimer, Insup Lee
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
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PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
Sangdon Park, Osbert Bastani, Nikolai Matni, Insup Lee
International Conference on Learning Representations (ICLR), 2020
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🚀 Before 2020

Resilient linear classification: an approach to deal with attacks on training data
Sangdon Park, James Weimer, Insup Lee
International Conference on Cyber-Physical Systems (ICCPS), 2017
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Integrated intelligence for human-robot teams
Jean Oh, Thomas M Howard, Matthew R Walter, Daniel Barber, Menglong Zhu, Sangdon Park, Arne Suppe, Luis Navarro-Serment, Felix Duvallet, Abdeslam Boularias, Others
International Symposium on Experimental Robotics (ISER), 2016
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Abnormal object detection by canonical scene-based contextual model
Sangdon Park, Wonsik Kim, Kyoung Mu Lee
European Conference on Computer Vision (ECCV), 2012
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