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ORCIDSangdon Park 0001
Person information
- affiliation: Georgia Institute of Technology, GA, USA
Other persons with the same name
- Sangdon Park — disambiguation page
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Conference and Workshop Papers
- 2024
[c15]Wenwen Si, Sangdon Park, Insup Lee, Edgar Dobriban, Osbert Bastani:
PAC Prediction Sets Under Label Shift. ICLR 2024- [c14]Shuo Li, Sangdon Park, Insup Lee, Osbert Bastani:
TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction. NAACL-HLT 2024: 3799-3821 - 2023
- [c13]Wenwen Si, Shuo Li, Sangdon Park, Insup Lee, Osbert Bastani:
Angelic Patches for Improving Third-Party Object Detector Performance. CVPR 2023: 24638-24647 - [c12]Ramneet Kaur
, Kaustubh Sridhar, Sangdon Park, Yahan Yang, Susmit Jha, Anirban Roy, Oleg Sokolsky, Insup Lee:
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data for Cyber-Physical Systems. ICCPS 2023: 120-131 - [c11]Sangdon Park, Osbert Bastani, Taesoo Kim:
ACon2: Adaptive Conformal Consensus for Provable Blockchain Oracles. USENIX Security Symposium 2023: 3313-3330 - 2022
- [c10]Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee:
iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection. AAAI 2022: 7104-7114 - [c9]Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani:
PAC Prediction Sets Under Covariate Shift. ICLR 2022 - [c8]Sooyong Jang, Sangdon Park, Insup Lee, Osbert Bastani:
Sequential Covariate Shift Detection Using Classifier Two-Sample Tests. ICML 2022: 9845-9880 - [c7]Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani:
PAC Prediction Sets for Meta-Learning. NeurIPS 2022 - 2021
- [c6]Sangdon Park, Shuo Li, Insup Lee, Osbert Bastani:
PAC Confidence Predictions for Deep Neural Network Classifiers. ICLR 2021 - 2020
- [c5]Sangdon Park, Osbert Bastani, James Weimer, Insup Lee:
Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation. AISTATS 2020: 3219-3229 - [c4]Sangdon Park, Osbert Bastani, Nikolai Matni, Insup Lee:
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction. ICLR 2020 - 2017
- [c3]Sangdon Park, James Weimer, Insup Lee:
Resilient linear classification: an approach to deal with attacks on training data. ICCPS 2017: 155-164 - 2016
- [c2]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:
Integrated Intelligence for Human-Robot Teams. ISER 2016: 309-322 - 2012
- [c1]Sangdon Park, Wonsik Kim, Kyoung Mu Lee:
Abnormal Object Detection by Canonical Scene-Based Contextual Model. ECCV (3) 2012: 651-664
Informal and Other Publications
- 2024
- [i16]Ramya Ramalingam, Sangdon Park, Osbert Bastani:
Uncertainty Quantification for Neurosymbolic Programs via Compositional Conformal Prediction. CoRR abs/2405.15912 (2024) - 2023
- [i15]Shuo Li, Sangdon Park, Insup Lee, Osbert Bastani:
TRAC: Trustworthy Retrieval Augmented Chatbot. CoRR abs/2307.04642 (2023) - [i14]Wenwen Si, Sangdon Park, Insup Lee, Edgar Dobriban, Osbert Bastani:
PAC Prediction Sets Under Label Shift. CoRR abs/2310.12964 (2023) - 2022
- [i13]Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee:
iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection. CoRR abs/2201.02331 (2022) - [i12]Shuo Li, Sangdon Park, Xiayan Ji, Insup Lee, Osbert Bastani:
Towards PAC Multi-Object Detection and Tracking. CoRR abs/2204.07482 (2022) - [i11]Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani:
PAC Prediction Sets for Meta-Learning. CoRR abs/2207.02440 (2022) - [i10]Ramneet Kaur, Kaustubh Sridhar, Sangdon Park, Susmit Jha, Anirban Roy, Oleg Sokolsky, Insup Lee:
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data. CoRR abs/2207.11769 (2022) - [i9]Sangdon Park, Xiang Cheng, Taesoo Kim:
Unsafe's Betrayal: Abusing Unsafe Rust in Binary Reverse Engineering toward Finding Memory-safety Bugs via Machine Learning. CoRR abs/2211.00111 (2022) - [i8]Sangdon Park, Osbert Bastani, Taesoo Kim:
ACon2: Adaptive Conformal Consensus for Provable Blockchain Oracles. CoRR abs/2211.09330 (2022) - 2021
- [i7]Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani:
PAC Prediction Sets Under Covariate Shift. CoRR abs/2106.09848 (2021) - [i6]Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Oleg Sokolsky, Insup Lee:
Detecting OODs as datapoints with High Uncertainty. CoRR abs/2108.06380 (2021) - 2020
- [i5]Sangdon Park, Osbert Bastani, Nikolai Matni, Insup Lee:
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction. CoRR abs/2001.00106 (2020) - [i4]Yiannis Kantaros, Taylor J. Carpenter, Sangdon Park, Radoslav Ivanov, Sooyong Jang, Insup Lee, James Weimer:
VisionGuard: Runtime Detection of Adversarial Inputs to Perception Systems. CoRR abs/2002.09792 (2020) - [i3]Sangdon Park, Osbert Bastani, James Weimer, Insup Lee:
Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation. CoRR abs/2003.00343 (2020) - [i2]Sangdon Park, Shuo Li, Osbert Bastani, Insup Lee:
PAC Confidence Predictions for Deep Neural Network Classifiers. CoRR abs/2011.00716 (2020) - 2017
- [i1]Sangdon Park, James Weimer, Insup Lee:
Resilient Linear Classification: An Approach to Deal with Attacks on Training Data. CoRR abs/1708.03366 (2017)
Coauthor Index
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