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stat.ML2025
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…
cs.LG2025
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…
eess.SP2025
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…