Anomaly Detection Using GANs for Visual Inspection in Noisy Training Data.

Masanari Kimura Takashi Yanagihara

Published in: ACCV Workshops (2018)

Keyphrases

anomaly detection
visual inspection
training data
intrusion detection
image analysis
detecting anomalies
data sets
computer security
network traffic

anomalous behavior
detecting anomalous
behavior analysis
network intrusion detection
decision trees
learning algorithm
one class support vector machines
network anomaly detection

training set
unsupervised anomaly detection
intrusion detection system
unsupervised learning
supervised learning
negative selection algorithm
cumulative sum
fluorescence microscopy images

laser scanning
network security
detect anomalies
malware detection
semi supervised
probabilistic model
high dimensional
neural network