Anomaly Detection using One-Class Neural Networks

by   Raghavendra Chalapathy, et al.

We propose a one-class neural network (OC-NN) model to detect anomalies in complex data sets. OC-NN combines the ability of deep networks to extract progressively rich representation of data with the one-class objective of creating a tight envelope around normal data. The OC-NN approach breaks new ground for the following crucial reason: data representation in the hidden layer is driven by the OC-NN objective and is thus customized for anomaly detection. This is a departure from other approaches which use a hybrid approach of learning deep features using an autoencoder and then feeding the features into a separate anomaly detection method like one-class SVM (OC-SVM). The hybrid OC-SVM approach is suboptimal because it is unable to influence representational learning in the hidden layers. A comprehensive set of experiments demonstrate that on complex data sets (like CIFAR and PFAM), OC-NN significantly outperforms existing state-of-the-art anomaly detection methods.


page 1

page 2

page 3

page 4


OCGNN: One-class Classification with Graph Neural Networks

Nowadays, graph-structured data are increasingly used to model complex s...

Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream

Online anomaly detection from a data stream is critical for the safety a...

Robust Anomaly Detection Using Semidefinite Programming

This paper presents a new approach, based on polynomial optimization and...

Anomaly Detection in Emails using Machine Learning and Header Information

Anomalies in emails such as phishing and spam present major security ris...

A Novel Anomaly Detection Algorithm for Hybrid Production Systems based on Deep Learning and Timed Automata

Performing anomaly detection in hybrid systems is a challenging task sin...

DROCC: Deep Robust One-Class Classification

Classical approaches for one-class problems such as one-class SVM (Schol...

Scalable and Interpretable One-class SVMs with Deep Learning and Random Fourier features

One-class Support Vector Machine (OC-SVM) for a long time has been one o...

Code Repositories


Models for one class neural networks

view repo