Sangdon Park
Sangdon Park
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Calibrated Predictions with Covariate Shift via Unsupervised Domain Adaptation
S Park, O Bastani, J Weimer, I Lee
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
S Park, O Bastani, N Matni, I Lee
International Conference on Learning Representations (ICLR), 2020
iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection
R Kaur, S Jha, A Roy, S Park, E Dobriban, O Sokolsky, I Lee
Association for the Advancement of Artificial Intelligence (AAAI), 2022
Integrated intelligence for human-robot teams
J Oh, TM Howard, MR Walter, D Barber, M Zhu, S Park, A Suppe, ...
International Symposium on Experimental Robotics (ISER), 309-322, 2016
PAC Prediction Sets Under Covariate Shift
S Park, E Dobriban, I Lee, O Bastani
International Conference on Learning Representations (ICLR), 2022
PAC Confidence Predictions for Deep Neural Network Classifiers
S Park, S Li, I Lee, O Bastani
International Conference on Learning Representations (ICLR), 2021
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data for Cyber-Physical Systems
R Kaur, K Sridhar, S Park, Y Yang, S Jha, A Roy, O Sokolsky, I Lee
Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical …, 2023
Abnormal object detection by canonical scene-based contextual model
S Park, W Kim, KM Lee
European Conference on Computer Vision (ECCV), 2012
VisionGuard: Runtime detection of adversarial inputs to perception systems
Y Kantaros, T Carpenter, S Park, R Ivanov, S Jang, I Lee, J Weimer
arXiv preprint arXiv:2002.09792, 2020
US army research laboratory (ARL) robotics collaborative technology alliance 2014 capstone experiment
M Childers, C Lennon, B Bodt, J Pusey, S Hill, R Camden, J Oh, R Dean, ...
US Army Research Laboratory Aberdeen Proving Ground United States, 2016
Resilient linear classification: an approach to deal with attacks on training data
S Park, J Weimer, I Lee
International Conference on Cyber-Physical Systems (ICCPS), 2017
Sequential Covariate Shift Detection Using Classifier Two-Sample Tests
S Jang, S Park, I Lee, O Bastani
International Conference on Machine Learning (ICML), 9845-9880, 2022
PAC Prediction Sets for Meta-Learning
S Park, E Dobriban, I Lee, O Bastani
Neural Information Processing Systems (NeurIPS), 2022
Towards PAC Multi-Object Detection and Tracking
S Li, S Park, X Ji, I Lee, O Bastani
arXiv preprint arXiv:2204.07482, 2022
TRAC: Trustworthy Retrieval Augmented Chatbot
S Li, S Park, I Lee, O Bastani
arXiv preprint arXiv:2307.04642, 2023
Angelic Patches for Improving Third-Party Object Detector Performance
W Si, S Li, S Park, I Lee, O Bastani
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
PAC Prediction Sets Under Label Shift
W Si, S Park, I Lee, E Dobriban, O Bastani
arXiv preprint arXiv:2310.12964, 2023
PAC Neural Prediction Set Learning to Quantify the Uncertainty of Generative Language Models
S Park, T Kim
arXiv preprint arXiv:2307.09254, 2023
Unsafe's Betrayal: Abusing Unsafe Rust in Binary Reverse Engineering via Machine Learning
S Park, X Cheng, T Kim
arXiv preprint arXiv:2211.00111, 2022
ACon: Adaptive Conformal Consensus for Provable Blockchain Oracles
S Park, O Bastani, T Kim
USENIX Security Symposium (Security), 2023
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