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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
Neurons
biblio
The Problems of Design and Application of Switching Neural Networks in Creation of Artificial Intelligence
Submitted by aekwall on Thu, 05/13/2021 - 11:31am
Resiliency
pubcrawl
policy-based governance
Metrics
Neurons
Training
control systems
Artificial Neural Networks
Biological neural networks
Neural networks
Switches
Artificial Intelligence
Supercomputers
cyber physical systems
biblio
Application of the Neural Networks for Cryptographic Information Security
Submitted by aekwall on Thu, 05/13/2021 - 11:30am
cyber physical systems
training set
Training
Switches
Secret key
pubcrawl
Neurons
information technology
information security
Neural Network Security
Cryptography
block ciphering
Biological neural networks
Artificial Neural Networks
Metrics
policy-based governance
Resiliency
cyber-physical systems
biblio
NEURODIFF: Scalable Differential Verification of Neural Networks using Fine-Grained Approximation
Submitted by aekwall on Mon, 05/03/2021 - 1:14pm
verification
MIMICs
formal methods
Differential Verification
differential analysis
scalable verification
Compositionality
Predictive Metrics
deep learning
Scalability
Task Analysis
Biological neural networks
software engineering
Neural networks
tools
Neurons
machine learning
pubcrawl
Resiliency
biblio
Is Spiking Secure? A Comparative Study on the Security Vulnerabilities of Spiking and Deep Neural Networks
Submitted by aekwall on Tue, 04/27/2021 - 1:10pm
Biological neural networks
Spiking Neural Networks
SNN
adversarial examples
belief networks
Deep Neural Network
Perturbation methods
DNN
Vulnerability
attack
image recognition
security
resilience
Neural networks
Training
Neurons
Robustness
machine learning
pubcrawl
Resiliency
cyber-physical systems
biblio
The Anomaly Detection Mechanism Using Extreme Learning Machine for Service Function Chaining
Submitted by grigby1 on Tue, 03/30/2021 - 11:54am
ICS Anomaly Detection
service integrity
service function chaining
Scalability
Resiliency
resilience
pubcrawl
Neurons
network function virtualization
5G mobile communication
Extreme learning machines
extreme learning machine
Containers
cloud-native
Cloud Computing
Anomaly Detection
5g network
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
Nested Pipeline Hardware Self-Organizing Map for High Dimensional Vectors
Submitted by aekwall on Mon, 03/22/2021 - 1:10pm
neural net architecture
fully parallel computation
high dimensional vectors
homogeneous modular structure
low-dimensional vectors
multiple clocks
nested architecture
nested pipeline hardware self-organizing map
neural chips
frequency 60.0 MHz
operable clock frequency
original nested SOM
pipeline computation
Self-Organizing Map
sequential computation
single vector
VHDL
weight vector update
Pipelines
FPGA
Hardware
computer architecture
Resiliency
pubcrawl
Neurons
clustering
Vectors
field programmable gate arrays
expandability
Compositionality
Clocks
pipeline processing
MNIST
self-organising feature maps
Self-organizing feature maps
biblio
Locality Guided Neural Networks for Explainable Artificial Intelligence
Submitted by aekwall on Mon, 03/01/2021 - 5:04pm
Semantics
training networks
Self-Organizing Map
Self-organizing feature maps
self-organising feature maps
locality guided neural network
current deep network architectures
AI methods
explainable artificial intelligence
CIFAR100 dataset
deep learning architecture
xai
Scalability
visualization
Topology
convolutional neural networks
network topology
convolutional neural nets
CNN
machine learning
Neurons
pubcrawl
Resiliency
learning (artificial intelligence)
biblio
DeepMal: A CNN-LSTM Model for Malware Detection Based on Dynamic Semantic Behaviours
Submitted by aekwall on Mon, 02/08/2021 - 1:41pm
cyber-criminals
recurrent neural nets
Human Factors
LSTM
Compositionality
high-level abstractions
CNN-LSTM model
Cyber Dependencies
component-CNN
convolution
deep learning framework
DeepMal
dynamic semantic behaviours
evil intentions
locally spatial correlations
malicious programs
malware classification task
sequential longterm dependency
Metrics
malware
malware detection
invasive software
Data models
feature extraction
learning (artificial intelligence)
Resiliency
pubcrawl
Scalability
Neurons
pattern classification
Training
machine learning
convolutional neural nets
natural language processing
NLP techniques
biblio
Probability Boltzmann Machine Network for Face Detection on Video
Submitted by grigby1 on Mon, 01/11/2021 - 2:01pm
Neurons
visualization
video face detection
Training
Scalability
Resiliency
resilience
pubcrawl
pre-training
deep learning
Metrics
greedy layer-wise learning
feature extraction
face recognition
Face detection
deep video
deep learning network
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