5 papers
Distributed Experimental Design: Bayes-optimal Fusion of Local Designs
Nagananda K G, Lav R. Varshney, Pramod K. Varshney
We develop a decision-theoretic framework for distributed Bayesian experimental design in which local agents evaluate candidate experiments using expected information gain and tran…
On the Adversarial Robustness of Learning-based Conformal Novelty Detection
Daofu Zhang, Mehrdad Pournaderi, Hanne M. Clifford +2
This paper studies the adversarial robustness of conformal novelty detection. In particular, we focus on two powerful learning-based frameworks that come with finite-sample false d…
Explainable AI for Radar Resource Management: Modified LIME in Deep Reinforcement Learning
Ziyang Lu, M. Cenk Gursoy, Chilukuri K. Mohan +1
Deep reinforcement learning has been extensively studied in decision-making processes and has demonstrated superior performance over conventional approaches in various fields, incl…
Distributed Multiple Testing with False Discovery Rate Control in the Presence of Byzantines
Daofu Zhang, Mehrdad Pournaderi, Yu Xiang +1
This work studies distributed multiple testing with false discovery rate (FDR) control in the presence of Byzantine attacks, where an adversary captures a fraction of the nodes and…
Anomaly Detection via Learning-Based Sequential Controlled Sensing
Geethu Joseph, Chen Zhong, M. Cenk Gursoy +2
In this paper, we address the problem of detecting anomalies among a given set of binary processes via learning-based controlled sensing. Each process is parameterized by a binary…