| iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection R Kaur, S Jha, A Roy, S Park, E Dobriban, O Sokolsky, I Lee Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7104-7114, 2022 | 40 | 2022 |
| 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 | 18* | 2023 |
| Interpretable Detection of Distribution Shifts in Learning Enabled Cyber-Physical Systems Y Yang, R Kaur, S Dutta, I Lee 2022 ACM/IEEE 13th International Conference on Cyber-Physical Systems (ICCPS …, 2022 | 17 | 2022 |
| Detecting OODs as Datapoints with High Uncertainty R Kaur, S Jha, A Roy, S Park, O Sokolsky, I Lee Uncertainty and Robustness in Deep Learning, ICML 2021 Workshop, 2021 | 16 | 2021 |
| Self-driving vehicle verification towards a benchmark N Roohi, R Kaur, J Weimer, O Sokolsky, I Lee arXiv preprint arXiv:1806.08810, 2018 | 16 | 2018 |
| Are all Outliers Alike? On Understanding the Diversity of Outliers for Detecting OODs R Kaur, S Jha, A Roy, O Sokolsky, I Lee arXiv preprint arXiv:2103.12628, 2021 | 12 | 2021 |
| Parameter invariant monitoring for signal temporal logic N Roohi, R Kaur, J Weimer, O Sokolsky, I Lee Proceedings of the 21st International Conference on Hybrid Systems …, 2018 | 9 | 2018 |
| Assurance case patterns for cyber-physical systems with deep neural networks R Kaur, R Ivanov, M Cleaveland, O Sokolsky, I Lee International Conference on Computer Safety, Reliability, and Security, 82-97, 2020 | 7 | 2020 |
| Using semantic information for defining and detecting ood inputs R Kaur, X Ji, S Dutta, M Caprio, Y Yang, E Bernardis, O Sokolsky, I Lee arXiv preprint arXiv:2302.11019, 2023 | 5 | 2023 |
| Towards alternative techniques for improving adversarial robustness: Analysis of adversarial training at a spectrum of perturbations K Sridhar, S Dutta, R Kaur, J Weimer, O Sokolsky, I Lee arXiv preprint arXiv:2206.06496, 2022 | 5 | 2022 |
| Predicting Out-of-Distribution Performance of Deep Neural Networks using Model Conformance R Kaur, S Jha, A Roy, O Sokolsky, I Lee 2023 IEEE International Conference on Assured Autonomy (ICAA), 19-28, 2023 | 3 | 2023 |
| Towards formalization of wireless vehicular networking R Kaur, J Kim, O Sokolsky, S Sarkar, R Ivanov, I Lee 2020 IEEE Workshop on Design Automation for CPS and IoT (DESTION), 23-31, 2020 | 1 | 2020 |
| Runtime verification of parametric properties using smedl T Zhang, R Kaur, I Lee, O Sokolsky From Reactive Systems to Cyber-Physical Systems: Essays Dedicated to Scott A …, 2019 | 1 | 2019 |
| Out-of-Distribution Detection in Dependent Data for Cyber-Physical Systems with Conformal Guarantees R Kaur, Y Yang, O Sokolsky, I Lee ACM Transactions on Cyber-Physical Systems, 2024 | | 2024 |
| Memory-based Distribution Shift Detection for Learning Enabled Cyber-Physical Systems with Statistical Guarantees Y Yang, R Kaur, S Dutta, I Lee ACM Transactions on Cyber-Physical Systems, 2024 | | 2024 |
| Automated Labeling Function Generation using Distance Functions for Physiological Alarm Suppression S Pugh, S Dutta, R Kaur, Y Yang, E Bernardis, I Lee Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical …, 2023 | | 2023 |
| Detection of Adversarial Physical Attacks in Time-Series Image Data R Kaur, Y Kantaros, W Si, J Weimer, I Lee arXiv preprint arXiv:2304.13919, 2023 | | 2023 |
| SCREENING OUT-OF-DISTRIBUTION INPUTS FOR RELIABLE AI PREDICTIONS R Kaur University of Pennsylvania, 2023 | | 2023 |
Insup LeeProfessor, Computer and Information Science, University of PennsylvaniaVerified email at cis.upenn.edu
