Sangdon Park

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Insup LeeProfessor, Computer and Information Science, University of PennsylvaniaCorreu electrònic verificat a cis.upenn.edu
Osbert BastaniUniversity of PennsylvaniaCorreu electrònic verificat a seas.upenn.edu
Edgar DobribanStatistics & Computer Science, University of PennsylvaniaCorreu electrònic verificat a upenn.edu
Anirban RoySenior Scientist, SRI InternationalCorreu electrònic verificat a sri.com
Ramneet KaurAdvanced Computer Scientist, SRICorreu electrònic verificat a sri.com
Oleg SokolskyUniversity of PennsylvaniaCorreu electrònic verificat a cis.upenn.edu
Susmit JhaDirector, Neurosymbolic Computing and Intelligence, SRI InternationalCorreu electrònic verificat a sri.com
Shuo LiPh.D. Candidate, University of PennsylvaniaCorreu electrònic verificat a seas.upenn.edu
James WeimerVanderbilt UniversityCorreu electrònic verificat a vanderbilt.edu
Nikolai MatniAssistant Professor of Electrical and Systems Engineering, University of PennsylvaniaCorreu electrònic verificat a seas.upenn.edu
Sooyong JangUniversity of PennsylvaniaCorreu electrònic verificat a seas.upenn.edu
Kaustubh SridharUniversity of PennsylvaniaCorreu electrònic verificat a seas.upenn.edu
Taesoo KimGeorgia Institute of TechnologyCorreu electrònic verificat a gatech.edu
Kyoung Mu LeeProfessor, Department of Electrical and Computer Engineering, Seoul National UniversityCorreu electrònic verificat a snu.ac.kr
Wonsik KimGoogleCorreu electrònic verificat a google.com
Yiannis KantarosAssistant Professor, Washington University in St. LouisCorreu electrònic verificat a wustl.edu
Xiayan JiUniversity of PennsylvaniaCorreu electrònic verificat a seas.upenn.edu

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Sangdon Park

POSTECH GSAI/CSE

Correu electrònic verificat a postech.ac.kr - Pàgina d'inici

Trustworthy AI Machine Learning Computer Security Cyber-Physical Systems


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
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	72	2020
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	64	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	54	2022
PAC Prediction Sets Under Covariate Shift S Park, E Dobriban, I Lee, O Bastani International Conference on Learning Representations (ICLR), 2022	44	2022
PAC Confidence Predictions for Deep Neural Network Classifiers S Park, S Li, I Lee, O Bastani International Conference on Learning Representations (ICLR), 2021	34	2021
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	31	2016
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	27*	2023
Detecting oods as datapoints with high uncertainty R Kaur, S Jha, A Roy, S Park, O Sokolsky, I Lee arXiv preprint arXiv:2108.06380, 2021	18	2021
Abnormal object detection by canonical scene-based contextual model S Park, W Kim, KM Lee European Conference on Computer Vision (ECCV), 2012	17	2012
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	16	2022
PAC Prediction Sets for Meta-Learning S Park, E Dobriban, I Lee, O Bastani Neural Information Processing Systems (NeurIPS), 2022	16	2022
TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction S Li, S Park, I Lee, O Bastani Proceedings of the 2024 Conference of the North American Chapter of the …, 2024	15*	2024
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	13	2020
PAC Prediction Sets Under Label Shift W Si, S Park, I Lee, E Dobriban, O Bastani arXiv preprint arXiv:2310.12964, 2023	12	2023
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	9	2017
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	9	2016
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	7	2023
MedBN: Robust Test-Time Adaptation against Malicious Test Samples H Park, J Hwang, S Mun, S Park, J Ok IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 5997-6007, 2024	6	2024
ACon: Adaptive Conformal Consensus for Provable Blockchain Oracles S Park, O Bastani, T Kim USENIX Security Symposium (Security), 2023	5	2023
Towards PAC Multi-Object Detection and Tracking S Li, S Park, X Ji, I Lee, O Bastani arXiv preprint arXiv:2204.07482, 2022	5	2022

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