| 2026 | DSN | Ruby: Unmasking Unsafe Rust in Stripped Binaries via Machine Learning. | Xiang Cheng, Sangdon Park, HyungSeok Han, Xiaokuan Zhang, Taesoo Kim |
| 2025 | DSN | SoundBoost: Effective RCA and Attack Detection for UAV via Acoustic Side-Channel. | Haoran Wang, Zheng Yang, Sangdon Park, Yibin Yang, Seulbae Kim, Willian T. Lunardi, Martin Andreoni, Taesoo Kim, Wenke Lee |
| 2025 | EMNLP | Retrieval-Augmented Generation with Estimation of Source Reliability. | Jeongyeon Hwang, Junyoung Park, Hyejin Park, Dongwoo Kim, Sangdon Park, Jungseul Ok |
| 2025 | EMNLP | ChronoBias: A Benchmark for Evaluating Temporal Group Bias in the Time-sensitive Knowledge of Large Language Models. | Kyungmin Kim, Youngbin Choi, Hyounghun Kim, Dongwoo Kim, Sangdon Park |
| 2025 | ICCV | Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning. | Saemi Moon, Minjong Lee, Sangdon Park, Dongwoo Kim |
| 2024 | CVPR | MedBN: Robust Test-Time Adaptation against Malicious Test Samples. | Hyejin Park, Jeongyeon Hwang, Sunung Mun, Sangdon Park, Jungseul Ok |
| 2024 | ICLR | PAC Prediction Sets Under Label Shift. | Wenwen Si, Sangdon Park, Insup Lee, Edgar Dobriban, Osbert Bastani |
| 2024 | NAACL | TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction. | Shuo Li, Sangdon Park, Insup Lee, Osbert Bastani |
| 2023 | CVPR | Angelic Patches for Improving Third-Party Object Detector Performance. | Wenwen Si, Shuo Li, Sangdon Park, Insup Lee, Osbert Bastani |
| 2022 | AAAI | iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection. | Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee |
| 2022 | ICLR | PAC Prediction Sets Under Covariate Shift. | Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani |
| 2022 | ICML | Sequential Covariate Shift Detection Using Classifier Two-Sample Tests. | Sooyong Jang, Sangdon Park, Insup Lee, Osbert Bastani |
| 2021 | ICLR | PAC Confidence Predictions for Deep Neural Network Classifiers. | Sangdon Park, Shuo Li, Insup Lee, Osbert Bastani |
| 2020 | AISTATS | Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation. | Sangdon Park, Osbert Bastani, James Weimer, Insup Lee |
| 2020 | ICLR | PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction. | Sangdon Park, Osbert Bastani, Nikolai Matni, Insup Lee |
| 2016 | NOMS | Maximizing energy efficiency in off-peak hours: A novel sleep scheme for WLAN access points. | Hyeontaek Oh, S. H. Shah Newaz, Sangdon Park, Jun Kyun Choi |
| 2015 | WISA | Changes of Cybersecurity Legal System in East Asia: Focusing on Comparison Between Korea and Japan. | Kwangho Kim, Sangdon Park, Jongin Lim |
| 2012 | ECCV | Abnormal Object Detection by Canonical Scene-Based Contextual Model. | Sangdon Park, Wonsik Kim, Kyoung Mu Lee |