4 papers · 1 filter
Out-of-Distribution (OOD) Detectors for Open-Set RF Fingerprinting
Sudeepta Mondal, Ganesh Sundaramoorthi
Radio-frequency (RF) fingerprinting systems must operate in open-world environments where signals from unknown transmitters and temporal drift introduce distribution shift at test…
Tuning Out-of-Distribution (OOD) Detectors Without Given OOD Data
Sudeepta Mondal, Xinyi Mary Xie, Ruxiao Duan +2
Existing out-of-distribution (OOD) detectors are often tuned by a separate dataset deemed OOD with respect to the training distribution of a neural network (NN). OOD detectors proc…
An Information-Theoretic Framework for Feature Construction in Out-of-Distribution Detection
Sudeepta Mondal, Xinyi, Xie +2
We present a theory for the construction of out-of-distribution (OOD) detection features for neural networks. We introduce random features for OOD through a novel information-theor…
HAct: Out-of-Distribution Detection with Neural Net Activation Histograms
Sudeepta Mondal, Ganesh Sundaramoorthi
We propose a simple, efficient, and accurate method for detecting out-of-distribution (OOD) data for trained neural networks. We propose a novel descriptor, HAct - activation histo…