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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
auto-encoders
biblio
Assessment of the Applicability of Autoencoders in the Problem of Detecting Anomalies in the Work of Industrial Control Systems.
Submitted by grigby1 on Tue, 03/30/2021 - 11:53am
industrial facilities
Task Analysis
Scalability
Resiliency
resilience
pubcrawl
process control systems
process control
Neurons
machine learning
learning (artificial intelligence)
integrated circuits
information security
Industries
anomalies detection
industrial control systems (ICS)
industrial control system
industrial control
ICS Anomaly Detection
deep learning
Decoding
convolutional neural networks
convolutional neural nets
control engineering computing
complex problems
classification problems
autoencoders
auto-encoders
biblio
Radial Basis Function (RBF) Based on Multistage Autoencoders for Intrusion Detection system (IDS)
Submitted by grigby1 on Tue, 12/01/2020 - 1:47pm
pubcrawl
Training
testing
Support vector machines
security of data
Resiliency
resilience
RBF-based multistage autoencoders
RBF training
RBF
radial basis function networks
radial basis function
auto-encoders
MATLAB2018
MATLAB
Mathematical model
learning (artificial intelligence)
intrusion detection system
Intrusion Detection
IDS attacks
IDS
Feature Selection
feature extraction
composability
biblio
Maximal Information Leakage based Privacy Preserving Data Disclosure Mechanisms
Submitted by aekwall on Mon, 04/20/2020 - 10:31am
confidential label
privacy models and measurement
Sibson mutual information
privacy-utility trade-off
privacy preserving data disclosure mechanisms
privacy metric
output data vector
MNIST dataset
maximal information leakage
Information Theoretic Privacy
information theoretic measures
FERG dataset
data vectors
data driven setting
data privacy
Bernoulli-Gaussian model
auto-encoders
privacy preservation
distortion
generative adversarial networks
gaussian distribution
Measurement
Mutual information
optimization
Metrics
privacy
pubcrawl
Data models