44 citations · 364 across the 85 of their papers we have counts for
8 papers · 1 filter
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…
Anomalous Edge Detection in Edge Exchangeable Social Network Models
Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy
This paper studies detecting anomalous edges in directed graphs that model social networks. We exploit edge exchangeability as a criterion for distinguishing anomalous edges from n…
Principal Agent Problem as a Principled Approach to Electronic Counter-Countermeasures in Radar
Anurag Gupta, Vikram Krishnamurthy
Electronic countermeasures (ECM) against a radar are actions taken by an adversarial jammer to mitigate effective utilization of the electromagnetic spectrum by the radar. On the o…
Controlling Segregation in Social Network Dynamics as an Edge Formation Game
Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy
This paper studies controlling segregation in social networks via exogenous incentives. We construct an edge formation game on a directed graph. A user (node) chooses the probabili…
Emergence of Structural Inequalities in Scientific Citation Networks
Buddhika Nettasinghe, Nazanin Alipourfard, Vikram Krishnamurthy +1
Structural inequalities persist in society, conferring systematic advantages to some people at the expense of others, for example, by giving them substantially more influence and o…
A Directed, Bi-Populated Preferential Attachment Model with Applications to Analyzing the Glass Ceiling Effect
Buddhika Nettasinghe, Nazanin Alipourfard, Vikram Krishnamurthy +1
Preferential attachment, homophily and, their consequences such as the glass ceiling effect have been well-studied in the context of undirected networks. However, the lack of an in…
Distributed learning in congested environments with partial information
Tomer Boyarski, Amir Leshem, Vikram Krishnamurthy
How can non-communicating agents learn to share congested resources efficiently? This is a challenging task when the agents can access the same resource simultaneously (in contrast…
Rationally Inattentive Utility Maximization for Interpretable Deep Image Classification
Kunal Pattanayak, Vikram Krishnamurthy
Are deep convolutional neural networks (CNNs) for image classification explainable by utility maximization with information acquisition costs? We demonstrate that deep CNNs behave…