Kaustubh Sridhar

According to our database, Kaustubh Sridhar authored at least 15 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Recovery from Adversarial Attacks in Cyber-physical Systems: Shallow, Deep, and Exploratory Works.

Pengyuan Lu, Lin Zhang, Mengyu Liu, Kaustubh Sridhar, Oleg Sokolsky, Fanxin Kong, Insup Lee

ACM Comput. Surv., August, 2024

Memory-Consistent Neural Networks for Imitation Learning.

Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, James Weimer, Insup Lee

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Automating Weak Label Generation for Data Programming with Clinicians in the Loop.

Jean Park, Sydney Pugh, Kaustubh Sridhar, Mengyu Liu, Navish Yarna, Ramneet Kaur, Souradeep Dutta, Elena Bernardis, Oleg Sokolsky, Insup Lee

Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2024

2023

Real-Time Data-Predictive Attack-Recovery for Complex Cyber-Physical Systems.

Lin Zhang, Kaustubh Sridhar, Mengyu Liu, Pengyuan Lu, Xin Chen, Fanxin Kong, Oleg Sokolsky, Insup Lee

Proceedings of the 29th IEEE Real-Time and Embedded Technology and Applications Symposium, 2023

Guaranteed Conformance of Neurosymbolic Models to Natural Constraints.

Kaustubh Sridhar, Souradeep Dutta, James Weimer, Insup Lee

Proceedings of the Learning for Dynamics and Control Conference, 2023

CODiT: Conformal Out-of-Distribution Detection in Time-Series Data for Cyber-Physical Systems.

Ramneet Kaur, Kaustubh Sridhar, Sangdon Park, Yahan Yang, Susmit Jha, Anirban Roy, Oleg Sokolsky, Insup Lee

Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023

2022

Predict-and-Critic: Accelerated End-to-End Predictive Control for Cloud Computing through Reinforcement Learning.

Kaustubh Sridhar, Vikramank Y. Singh, Balakrishnan Narayanaswamy, Abishek Sankararaman

CoRR, 2022

CODiT: Conformal Out-of-Distribution Detection in Time-Series Data.

Ramneet Kaur, Kaustubh Sridhar, Sangdon Park, Susmit Jha, Anirban Roy, Oleg Sokolsky, Insup Lee

CoRR, 2022

Towards Alternative Techniques for Improving Adversarial Robustness: Analysis of Adversarial Training at a Spectrum of Perturbations.

Kaustubh Sridhar, Souradeep Dutta, Ramneet Kaur, James Weimer, Oleg Sokolsky, Insup Lee

CoRR, 2022

A Framework for Checkpointing and Recovery of Hierarchical Cyber-Physical Systems.

Kaustubh Sridhar, Radoslav Ivanov, Vuk Lesi, Marcio Juliato, Manoj R. Sastry, Lily L. Yang, James Weimer, Oleg Sokolsky, Insup Lee

CoRR, 2022

Fail-Safe: Securing Cyber-Physical Systems against Hidden Sensor Attacks.

Mengyu Liu, Lin Zhang, Pengyuan Lu, Kaustubh Sridhar, Fanxin Kong, Oleg Sokolsky, Insup Lee

Proceedings of the IEEE Real-Time Systems Symposium, 2022

Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates.

Souradeep Dutta, Kaustubh Sridhar, Osbert Bastani, Edgar Dobriban, James Weimer, Insup Lee, Julia Parish-Morris

Proceedings of the Conference on Robot Learning, 2022

Improving Neural Network Robustness via Persistency of Excitation.

Kaustubh Sridhar, Oleg Sokolsky, Insup Lee, James Weimer

Proceedings of the American Control Conference, 2022

2021

Robust Learning via Persistency of Excitation.

Kaustubh Sridhar, Oleg Sokolsky, Insup Lee, James Weimer

CoRR, 2021

Real-time detectors for digital and physical adversarial inputs to perception systems.

Yiannis Kantaros, Taylor J. Carpenter, Kaustubh Sridhar, Yahan Yang, Insup Lee, James Weimer

Proceedings of the ICCPS '21: ACM/IEEE 12th International Conference on Cyber-Physical Systems, 2021