Abstract: Existing literature confirms the ability of machine learning to identify fraudulent smart grid power consumers who report false consumption readings to pay less electricity bills.
This repository contains training and testing code reported in the ICCV 2019 paper titled "GODS: Generalized One-class Discriminative Subspaces for Anomaly Detection" by Jue Wang and Anoop Cherian and ...
Abstract: Most of the studies on one-class learning for voice spoofing detection have poor generalization ability for unknown attacks and lack flexibility for different tasks. To address these ...
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