Counterfactual Reasoning for Perception Fault Diagnosis in Autonomous Systems
A causal framework for diagnosing perception faults using structural causal models, counterfactual queries, and active experimentation via Monte Carlo Tree Search.

A causal framework for diagnosing perception faults using structural causal models, counterfactual queries, and active experimentation via Monte Carlo Tree Search.

Investigation of stealthy deception cyberattacks in cyber-physical systems, including zero-dynamics, controllable, and covert attacks, and the development of dynamic coding–based defenses with provable detectability guarantees.

A causality-guided neural control framework for actuator fault recovery, combining offline causal inference with selective online adaptation under Lyapunov stability guarantees.
