Our work “How can a radar mask its cognition?” got accepted for publication in IEEE Transactions in Aerospace and Electronics Systems with revision.
This paper addresses the problem of inverse-inverse reinforcement learning in cognitive radars – how to deceptively appear non-cognitive when faced with an adversary.
As an extension, we are currently working on applying this philosophy in conjunction with differential privacy mechanisms to design safe interaction protocols that safeguard a decision maker’s strategy in an adversarial environment.