Real-time detectors for digital and physical adversarial inputs to perception systems. - Yiannis Kantaros; Taylor J. Carpenter; Kaustubh Sridhar; Yahan Yang; Insup Lee 001; James Weimer (ICCPS, 2021)

Robust Learning via Persistency of Excitation. - Kaustubh Sridhar; Oleg Sokolsky; Insup Lee 001; James Weimer (CoRR, 2021)

Improving Neural Network Robustness via Persistency of Excitation. - Kaustubh Sridhar; Oleg Sokolsky; Insup Lee 001; James Weimer (ACC, 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 001; Julia Parish-Morris (CoRL, 2022)

Fail-Safe: Securing Cyber-Physical Systems against Hidden Sensor Attacks. - Mengyu Liu; Lin Zhang 039; Pengyuan Lu; Kaustubh Sridhar; Fanxin Kong; Oleg Sokolsky; Insup Lee 001 (RTSS, 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 001 (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 001 (CoRR, 2022)

CODiT: Conformal Out-of-Distribution Detection in Time-Series Data. - Ramneet Kaur; Kaustubh Sridhar; Sangdon Park 001; Susmit Jha; Anirban Roy; Oleg Sokolsky; Insup Lee 001 (CoRR, 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 for Cyber-Physical Systems. - Ramneet Kaur; Kaustubh Sridhar; Sangdon Park 001; Yahan Yang; Susmit Jha; Anirban Roy; Oleg Sokolsky; Insup Lee 001 (ICCPS, 2023)

Guaranteed Conformance of Neurosymbolic Models to Natural Constraints. - Kaustubh Sridhar; Souradeep Dutta; James Weimer; Insup Lee 001 (L4DC, 2023)

Real-Time Data-Predictive Attack-Recovery for Complex Cyber-Physical Systems. - Lin Zhang 039; Kaustubh Sridhar; Mengyu Liu; Pengyuan Lu; Xin Chen 002; Fanxin Kong; Oleg Sokolsky; Insup Lee 001 (RTAS, 2023)

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 001 (CHASE, 2024)

Memory-Consistent Neural Networks for Imitation Learning. - Kaustubh Sridhar; Souradeep Dutta; Dinesh Jayaraman; James Weimer; Insup Lee 001 (ICLR, 2024)

Recovery from Adversarial Attacks in Cyber-physical Systems: Shallow, Deep, and Exploratory Works. - Pengyuan Lu; Lin Zhang 039; Mengyu Liu; Kaustubh Sridhar; Oleg Sokolsky; Fanxin Kong; Insup Lee 001 (ACM Comput. Surv., 2024)

REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments. - Kaustubh Sridhar; Souradeep Dutta; Dinesh Jayaraman; Insup Lee 001 (ICLR, 2025)