Park, Sangdon

14 publications

ICCV 2025 Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning Saemi Moon, Minjong Lee, Sangdon Park, Dongwoo Kim

CVPR 2024 MedBN: Robust Test-Time Adaptation Against Malicious Test Samples Hyejin Park, Jeongyeon Hwang, Sunung Mun, Sangdon Park, Jungseul Ok

ICLR 2024 PAC Prediction Sets Under Label Shift Wenwen Si, Sangdon Park, Insup Lee, Edgar Dobriban, Osbert Bastani

NeurIPS 2024 Selective Generation for Controllable Language Models Minjae Lee, Kyungmin Kim, Taesoo Kim, Sangdon Park

CVPR 2023 Angelic Patches for Improving Third-Party Object Detector Performance Wenwen Si, Shuo Li, Sangdon Park, Insup Lee, Osbert Bastani

ICMLW 2023 TRAC: Trustworthy Retrieval Augmented Chatbot Shuo Li, Sangdon Park, Insup Lee, Osbert Bastani

ICLR 2022 PAC Prediction Sets Under Covariate Shift Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani

NeurIPS 2022 PAC Prediction Sets for Meta-Learning Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani

ICML 2022 Sequential Covariate Shift Detection Using Classifier Two-Sample Tests Sooyong Jang, Sangdon Park, Insup Lee, Osbert Bastani

AAAI 2022 iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee

ICLR 2021 PAC Confidence Predictions for Deep Neural Network Classifiers Sangdon Park, Shuo Li, Insup Lee, Osbert Bastani

AISTATS 2020 Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation Sangdon Park, Osbert Bastani, James Weimer, Insup Lee

ICLR 2020 PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction Sangdon Park, Osbert Bastani, Nikolai Matni, Insup Lee

ECCV 2012 Abnormal Object Detection by Canonical Scene-Based Contextual Model Sangdon Park, Wonsik Kim, Kyoung Mu Lee