Sangdon Park

According to our database, Sangdon Park authored at least 20 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

PAC Prediction Sets Under Label Shift.

Wenwen Si, Sangdon Park, Insup Lee, Edgar Dobriban, Osbert Bastani

CoRR, 2023

TRAC: Trustworthy Retrieval Augmented Chatbot.

Shuo Li, Sangdon Park, Insup Lee, Osbert Bastani

CoRR, 2023

ACon²: Adaptive Conformal Consensus for Provable Blockchain Oracles.

Sangdon Park, Osbert Bastani, Taesoo Kim

Proceedings of the 32nd USENIX Security Symposium, 2023

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

Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023

Angelic Patches for Improving Third-Party Object Detector Performance.

Wenwen Si, Shuo Li, Sangdon Park, Insup Lee, Osbert Bastani

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

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

Sangdon Park, Xiang Cheng, Taesoo Kim

CoRR, 2022

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

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

CoRR, 2022

Towards PAC Multi-Object Detection and Tracking.

Shuo Li, Sangdon Park, Xiayan Ji, Insup Lee, Osbert Bastani

CoRR, 2022

PAC Prediction Sets for Meta-Learning.

Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sequential Covariate Shift Detection Using Classifier Two-Sample Tests.

Sooyong Jang, Sangdon Park, Insup Lee, Osbert Bastani

Proceedings of the International Conference on Machine Learning, 2022

PAC Prediction Sets Under Covariate Shift.

Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani

Proceedings of the Tenth International Conference on Learning Representations, 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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Detecting OODs as datapoints with High Uncertainty.

Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Oleg Sokolsky, Insup Lee

CoRR, 2021

PAC Confidence Predictions for Deep Neural Network Classifiers.

Sangdon Park, Shuo Li, Insup Lee, Osbert Bastani

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

VisionGuard: Runtime Detection of Adversarial Inputs to Perception Systems.

Yiannis Kantaros, Taylor J. Carpenter, Sangdon Park, Radoslav Ivanov, Sooyong Jang, Insup Lee, James Weimer

CoRR, 2020

PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction.

Sangdon Park, Osbert Bastani, Nikolai Matni, Insup Lee

Proceedings of the 8th International Conference on Learning Representations, 2020

Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation.

Sangdon Park, Osbert Bastani, James Weimer, Insup Lee

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2017

Resilient linear classification: an approach to deal with attacks on training data.

Sangdon Park, James Weimer, Insup Lee

Proceedings of the 8th International Conference on Cyber-Physical Systems, 2017

2016

Integrated Intelligence for Human-Robot Teams.

Jean Oh, Thomas M. Howard, Matthew R. Walter, Daniel Barber, Menglong Zhu, Sangdon Park, Arne Suppé, Luis E. Navarro-Serment, Felix Duvallet, Abdeslam Boularias, Oscar J. Romero, Jerry Vinokurov, Terence Keegan, Robert M. Dean, Craig Lennon, Barry A. Bodt, Marshal Childers, Jianbo Shi, Kostas Daniilidis, Nicholas Roy, Christian Lebiere, Martial Hebert, Anthony Stentz

Proceedings of the International Symposium on Experimental Robotics, 2016

2012

Abnormal Object Detection by Canonical Scene-Based Contextual Model.

Sangdon Park, Wonsik Kim, Kyoung Mu Lee

Proceedings of the Computer Vision - ECCV 2012, 2012