Jennifer Dy

A Probabilistic Active Learning Algorithm Based on Fisher Information Ratio

2017 · IEEE Transactions on Pattern Analysis and Machine Intelligence

The task of labeling samples is demanding and expensive. Active learning aims to generate the smallest possible training data set that results in a classifier with high performance in the test phase. It usually consists …

MAC ID Spoofing-Resistant Radio Fingerprinting

2019

We explore the resistance of deep learning methods for radio fingerprinting to MAC ID spoofing. We demonstrate that classifying transmission slices enables classification of a transmission with a fixed-length input deep classifier, enhances shift-invariance, and, …