Kaustubh Sridhar

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 20

Top Topics

Physical Systems

Reinforcement Learning

Expert Knowledge

Top Venues

Publications

Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, James Weimer, Insup Lee
Memory-Consistent Neural Networks for Imitation Learning. ICLR (2024)
Pengyuan Lu, Lin Zhang, Mengyu Liu, Kaustubh Sridhar, Oleg Sokolsky, Fanxin Kong, Insup Lee
Recovery from Adversarial Attacks in Cyber-physical Systems: Shallow, Deep, and Exploratory Works. ACM Comput. Surv. 56 (8) (2024)
Jean Park, Sydney Pugh, Kaustubh Sridhar, Mengyu Liu, Navish Yarna, Ramneet Kaur, Souradeep Dutta, Elena Bernardis, Oleg Sokolsky, Insup Lee
Automating Weak Label Generation for Data Programming with Clinicians in the Loop. CoRR (2024)
Pengyuan Lu, Lin Zhang, Mengyu Liu, Kaustubh Sridhar, Fanxin Kong, Oleg Sokolsky, Insup Lee
Recovery from Adversarial Attacks in Cyber-physical Systems: Shallow, Deep and Exploratory Works. CoRR (2024)
Jean Park, Sydney Pugh, Kaustubh Sridhar, Mengyu Liu, Navish Yarna, Ramneet Kaur, Souradeep Dutta, Elena Bernardis, Oleg Sokolsky, Insup Lee
Automating Weak Label Generation for Data Programming with Clinicians in the Loop. CHASE (2024)
Ramneet Kaur, Kaustubh Sridhar, Sangdon Park, Yahan Yang, Susmit Jha, Anirban Roy, Oleg Sokolsky, Insup Lee
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data for Cyber-Physical Systems. ICCPS (2023)
Kaustubh Sridhar, Souradeep Dutta, James Weimer, Insup Lee
Guaranteed Conformance of Neurosymbolic Models to Natural Constraints. L4DC (2023)
Lin Zhang, Kaustubh Sridhar, Mengyu Liu, Pengyuan Lu, Xin Chen, Fanxin Kong, Oleg Sokolsky, Insup Lee
Real-Time Data-Predictive Attack-Recovery for Complex Cyber-Physical Systems. RTAS (2023)
Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, James Weimer, Insup Lee
Memory-Consistent Neural Networks for Imitation Learning. CoRR (2023)
Kaustubh Sridhar, Oleg Sokolsky, Insup Lee, James Weimer
Improving Neural Network Robustness via Persistency of Excitation. ACC (2022)
Kaustubh Sridhar, Souradeep Dutta, James Weimer, Insup Lee
Guaranteed Conformance of Neurosymbolic Models to Natural Constraints. CoRR (2022)
Mengyu Liu, Lin Zhang, Pengyuan Lu, Kaustubh Sridhar, Fanxin Kong, Oleg Sokolsky, Insup Lee
Fail-Safe: Securing Cyber-Physical Systems against Hidden Sensor Attacks. RTSS (2022)
Souradeep Dutta, Kaustubh Sridhar, Osbert Bastani, Edgar Dobriban, James Weimer, Insup Lee, Julia Parish-Morris
Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates. CoRL (2022)
Souradeep Dutta, Kaustubh Sridhar, Osbert Bastani, Edgar Dobriban, James Weimer, Insup Lee, Julia Parish-Morris
Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates. CoRR (2022)
Kaustubh Sridhar, Souradeep Dutta, Ramneet Kaur, James Weimer, Oleg Sokolsky, Insup Lee
Towards Alternative Techniques for Improving Adversarial Robustness: Analysis of Adversarial Training at a Spectrum of Perturbations. CoRR (2022)
Kaustubh Sridhar, Radoslav Ivanov, Vuk Lesi, Marcio Juliato, Manoj R. Sastry, Lily L. Yang, James Weimer, Oleg Sokolsky, Insup Lee
A Framework for Checkpointing and Recovery of Hierarchical Cyber-Physical Systems. CoRR (2022)
Kaustubh Sridhar, Vikramank Y. Singh, Balakrishnan Narayanaswamy, Abishek Sankararaman
Predict-and-Critic: Accelerated End-to-End Predictive Control for Cloud Computing through Reinforcement Learning. CoRR (2022)
Ramneet Kaur, Kaustubh Sridhar, Sangdon Park, Susmit Jha, Anirban Roy, Oleg Sokolsky, Insup Lee
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data. CoRR (2022)
Kaustubh Sridhar, Oleg Sokolsky, Insup Lee, James Weimer
Robust Learning via Persistency of Excitation. CoRR (2021)
Yiannis Kantaros, Taylor J. Carpenter, Kaustubh Sridhar, Yahan Yang, Insup Lee, James Weimer
Real-time detectors for digital and physical adversarial inputs to perception systems. ICCPS (2021)