Kaustubh Sridhar

Orcid: 0000-0002-7852-7043

According to our database1, Kaustubh Sridhar authored at least 13 papers between 2021 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Memory-Consistent Neural Networks for Imitation Learning.
CoRR, 2023

Real-Time Data-Predictive Attack-Recovery for Complex Cyber-Physical Systems.
Proceedings of the 29th IEEE Real-Time and Embedded Technology and Applications Symposium, 2023

Guaranteed Conformance of Neurosymbolic Models to Natural Constraints.
Proceedings of the Learning for Dynamics and Control Conference, 2023

CODiT: Conformal Out-of-Distribution Detection in Time-Series Data for Cyber-Physical Systems.
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.
CoRR, 2022

CODiT: Conformal Out-of-Distribution Detection in Time-Series Data.
CoRR, 2022

Towards Alternative Techniques for Improving Adversarial Robustness: Analysis of Adversarial Training at a Spectrum of Perturbations.
CoRR, 2022

A Framework for Checkpointing and Recovery of Hierarchical Cyber-Physical Systems.
CoRR, 2022

Fail-Safe: Securing Cyber-Physical Systems against Hidden Sensor Attacks.
Proceedings of the IEEE Real-Time Systems Symposium, 2022

Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates.
Proceedings of the Conference on Robot Learning, 2022

Improving Neural Network Robustness via Persistency of Excitation.
Proceedings of the American Control Conference, 2022

2021
Robust Learning via Persistency of Excitation.
CoRR, 2021

Real-time detectors for digital and physical adversarial inputs to perception systems.
Proceedings of the ICCPS '21: ACM/IEEE 12th International Conference on Cyber-Physical Systems, 2021


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