In this work, we propose a novel inverse reinforcement learning (IRL)
al...
Rapid advances in designing cognitive and counter-adversarial systems ha...
Recent developments in counter-adversarial system research have led to t...
We study learning in periodic Markov Decision Process (MDP), a special t...
In order to infer the strategy of an intelligent attacker, it is desired...
Recent counter-adversarial system design problems have motivated the
dev...
We study learning in periodic Markov Decision Process(MDP), a special ty...
With the use of common signaling methods for dual-function
radar-communi...
Recent advances in counter-adversarial systems have garnered significant...
We consider a system of several collocated nodes sharing a time slotted
...
Herein, design of false data injection attack on a distributed cyber-phy...
Blockage due to obstacles in millimeter wave (mmWave) device to device (...
In this paper, selection of an active sensor subset for tracking a discr...
In this paper, minimization of time-averaged age-of-information (AoI) in...
In this paper, detection of deception attack on deep neural network (DNN...
Millimeter wave (mmWave) device to device (D2D) communication is highly
...
In this paper, secure, remote estimation of a linear Gaussian process vi...
Motivated by the Internet-of-things and sensor networks for cyberphysica...
Motivated by the Internet-of-things and sensor networks for cyberphysica...