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20192022
most citedRationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior

7 citations · 11 across the 10 of their papers we have counts for

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eess.SP2022

Adaptive ECCM for Mitigating Smart Jammers

Kunal Pattanayak, Shashwat Jain, Vikram Krishnamurthy +1

This paper considers adaptive radar electronic counter-counter measures (ECCM) to mitigate ECM by an adversarial jammer. Our ECCM approach models the jammer-radar interaction as a…

eess.SP2022★ 2 cited

How can a Radar Mask its Cognition?

Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry

A cognitive radar is a constrained utility maximizer that adapts its sensing mode in response to a changing environment. If an adversary can estimate the utility function of a cogn…

eess.SP2022

Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive Radars

Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry

This paper considers meta-cognitive radars in an adversarial setting. A cognitive radar optimally adapts its waveform (response) in response to maneuvers (probes) of a possibly adv…

eess.SP2021

How can a Cognitive Radar Mask its Cognition?

Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry

We study how a cognitive radar can mask (hide) its cognitive ability from an adversarial jamming device. Specifically, if the radar optimally adapts its waveform based on adversari…

eess.SP2020

Adversarial Radar Inference: Inverse Tracking, Identifying Cognition and Designing Smart Interference

Vikram Krishnamurthy, Kunal Pattanayak, Sandeep Gogineni +2

This paper considers three inter-related adversarial inference problems involving cognitive radars. We first discuss inverse tracking of the radar to estimate the adversary's estim…