| Improving neural network robustness via persistency of excitation K Sridhar, O Sokolsky, I Lee, J Weimer American Control Conference (ACC) 2022, 1521-1526, 2022 | 28 | 2022 |
| VisionGuard: Real-time detectors for digital and physical adversarial inputs to perception systems Y Kantaros, T Carpenter, K Sridhar, Y Yang, I Lee, J Weimer International Conference on Cyber-Physical Systems (ICCPS) 2021, 67-76, 2021 | 25* | 2021 |
| CODiT: Conformal Out-of-Distribution Detection in Time-Series Data R Kaur, K Sridhar, S Park, S Jha, A Roy, O Sokolsky, I Lee ICML 2022 PODS Workshop; International Conference on Cyber-Physical Systems …, 2022 | 24* | 2022 |
| Real-Time Data-Predictive Attack-Recovery for Complex Cyber-Physical Systems L Zhang, K Sridhar, M Liu, P Lu, X Chen, F Kong, O Sokolsky, I Lee 2023 IEEE 29th Real-Time and Embedded Technology and Applications Symposium …, 2023 | 18* | 2023 |
| Fail-Safe: Securing Cyber-Physical Systems against Hidden Sensor Attacks M Liu, L Zhang, P Lu, K Sridhar, F Kong, O Sokolsky, I Lee IEEE Real-Time Systems Symposium (RTSS) 2022, 240-252, 2022 | 18* | 2022 |
| Bio-inspired Landing of Quadrotor using Improved State Estimation H Das, K Sridhar, R Padhi IFAC-PapersOnLine 51 (1), 462-467, 2018 | 9 | 2018 |
| Memory-Consistent Neural Networks for Imitation Learning K Sridhar, S Dutta, D Jayaraman, J Weimer, I Lee International Conference on Learning Representations (ICLR) 2024, 2023 | 6 | 2023 |
| A Framework for Checkpointing and Recovery of Hierarchical Cyber-Physical Systems K Sridhar, R Ivanov, V Lesi, M Juliato, M Sastry, L Yang, J Weimer, ... arXiv preprint arXiv:2205.08650, 2020 | 6 | 2020 |
| Guaranteed Conformance of Neurosymbolic Models to Natural Constraints K Sridhar, S Dutta, J Weimer, I Lee ICLR 2023 NeSy-GeMs Workshop; Learning for Dynamics and Control (L4DC) 2023, 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 |
| Finite-time, Event-triggered Tracking Control of Quadrotors K Sridhar, S Sukumar 5th CEAS Specialist Conference on Guidance, Navigation & Control (EurGNC 19 …, 2019 | 5 | 2019 |
| Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates S Dutta, K Sridhar, O Bastani, E Dobriban, J Weimer, I Lee, ... Conference on Robot Learning (CoRL) 2022, 2022 | 4 | 2022 |
| Recovery from Adversarial Attacks in Cyber-physical Systems: Shallow, Deep and Exploratory Works P Lu, L Zhang, M Liu, K Sridhar, O Sokolsky, F Kong, I Lee ACM Computing Surveys, 0 | 3 | |
| Automating Weak Label Generation for Data Programming with Clinicians in the Loop J Park, S Pugh, K Sridhar, M Liu, N Yarna, R Kaur, S Dutta, E Bernardis, ... 2024 IEEE/ACM Conference on Connected Health: Applications, Systems and …, 2024 | 2 | 2024 |
| Predict-and-Critic: Accelerated End-to-End Predictive Control for Cloud Computing through Reinforcement Learning K Sridhar, V Singh, B Narayanaswamy, A Sankararaman arXiv preprint arXiv:2212.01348, 2022 | 1 | 2022 |
| REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context In New Environments K Sridhar, S Dutta, D Jayaraman, I Lee | | 2024 |
Insup LeeProfessor, Computer and Information Science, University of PennsylvaniaVerified email at cis.upenn.edu
