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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
Neural networks
biblio
An Algebraic Expert System with Neural Network Concepts for Cyber, Big Data and Data Migration
Submitted by aekwall on Mon, 10/12/2020 - 11:37am
Relational Database
machine learning experts system
mathematical algebraic form
neural nets
neural network
neural network computational graph structure
neural network node structure
Neural networks
output layers
pubcrawl
machine assistance approach
relational databases
Resiliency
rule probabilities
Scalability
security
structured approach
Syntactics
trees (mathematics)
value probabilities
data migration applications
algebraic expert system
Artificial Intelligence
Bayes methods
Bayesian probability tree approach
Big Data
cognition
Cyber database
data handling
data migration
False Data Detection
expert systems
Expert Systems and Security
grading decisions
Human behavior
Information Assurance
knowledge based systems
knowledge-base organization
Knowledgebase
learning (artificial intelligence)
biblio
An Adversarial Perturbation Approach Against CNN-based Soft Biometrics Detection
Submitted by aekwall on Mon, 10/12/2020 - 11:33am
Privacy Threats
Expert Systems and Privacy
unwanted soft biometrics-based identification
subject ethnicity
keystroke dynamics
Gender
daily life consumer electronics
computer vision tasks
CNN-based soft biometrics detection
biometric-based authentication systems
biometric approaches
adversarial stickers
adversarial perturbation approach
authentication systems
sensitive information
Perturbation methods
security of data
computer vision
Human Factors
biometrics (access control)
Data processing
authentication
convolutional neural nets
Neural networks
privacy
deep learning
pubcrawl
Human behavior
learning (artificial intelligence)
data privacy
Scalability
biblio
Trust-Region Minimization Algorithm for Training Responses (TRMinATR): The Rise of Machine Learning Techniques
Submitted by grigby1 on Mon, 10/05/2020 - 2:11pm
Scalability
Neural networks
Newton method
nonconvex functions
optimisation
optimization
pubcrawl
Quasi-Newton methods
resilience
Resiliency
memory storage
security
Signal processing algorithms
storage management
Training
training responses
TRMinATR
Trust-region methods
trust-region minimization algorithm
Hessian matrices
computational complexity
computer architecture
computer theory
deep learning
Europe
gradient descent methods
gradient methods
Hessian approximations
approximation theory
Hessian matrix inversion
Human Factors
learning (artificial intelligence)
limited memory BFGS quasiNewton method
Limited-memory BFGS
Line-search methods
machine learning
matrix inversion
biblio
Neural Algebra of Classifiers
Submitted by grigby1 on Mon, 10/05/2020 - 2:02pm
image recognition
visualization
visual recognition benchmarks
Training
simple visual classifiers
pubcrawl
Neural networks
neural network modules
neural nets
neural algebra
algebra
image classification
Compositionality
complex visual concept
classifier
boolean algebra operations
Boolean algebra
Birds
Beak
biblio
Vulnerability Severity Prediction With Deep Neural Network
Submitted by aekwall on Mon, 09/28/2020 - 12:35pm
standard cross site scripting vulnerability text data
deep neural networks
network security incidents
XSS vulnerability
false negative rate
huge economic losses
multiple deep learning methods
optimal CNN network
recurrent convolutional neural networks
Deep Neural Network
text classification
TextRCNN
vulnerability risk levels
vulnerability severity prediction
vulnerability text classification evaluation
vulnerability text information
Cross Site Scripting
computer network security
recurrent neural nets
convolution
Communication networks
text categorization
convolutional neural nets
machine learning
Neural networks
pubcrawl
Human behavior
Resiliency
learning (artificial intelligence)
Data models
security
Scalability
network security
biblio
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks
Submitted by aekwall on Mon, 09/21/2020 - 3:36pm
adversarial inputs
Cross Layer Security
verification cross-layer ensemble
unsupervised model
supervised model verification ensemble
representative attacks
noise reduction
MODEF
Manifolds
ensemble diversity
ensemble defense
defense-attack arms race
defense success rates
cross-layer model diversity ensemble framework
black-box adversarial attacks
benign inputs
security of data
adversarial deep learning
composability
DNNs
adversarial examples
machine learning tasks
deep neural networks
Predictive models
testing
Training
Neural networks
neural nets
Robustness
pubcrawl
Resiliency
learning (artificial intelligence)
biblio
Flexible Design of Finite Blocklength Wiretap Codes by Autoencoders
Submitted by grigby1 on Fri, 09/18/2020 - 1:46pm
leakage tradeoff
wiretap code
wireless devices
vanishing leakage
traditional codes
telecommunication security
security
Resiliency
resilience
radiocommunication
pubcrawl
physical layer security
Neural networks
neural network autoencoders
Metrics
legitimate receiver
autoencoder
information theory
Gaussian wiretap channels
Gaussian channels
flexible wiretap code design
flexible design
finite blocklength wiretap codes
finite blocklength
error statistics
error rate
decoding error probability
Decoding
Cryptography
Compositionality
coding theory
channel coding
biblio
Privacy-Preserving Outsourced Speech Recognition for Smart IoT Devices
Submitted by aekwall on Mon, 09/14/2020 - 12:28pm
Privacy-preserving
composability
smart IoT devices
smart Internet of Things (IoT) devices
privacy-preserving outsourced speech recognition
outsourced privacy-preserving speech recognition framework
neural network-based speech recognition
long short-term memory neural network
long short-term memory (LSTM)
intelligent IoT device voice control
human-machine interaction interface
forward propagation (FP)
Back propagation through time (BPTT)
additive secret sharing-based interactive protocols
data privacy
Speech recognition
edge computing
recurrent neural nets
Logic gates
Neural networks
Cryptography
privacy
pubcrawl
privacy leakage
Protocols
distributed processing
Internet of Things
biblio
Creation of Adversarial Examples with Keeping High Visual Performance
Submitted by grigby1 on Fri, 09/11/2020 - 11:46am
visualization
intelligence
image recognition technology
human readability
high visual performance
FGSM
convolutional neural network (CNN)
character string CAPTCHA
character recognition
character images
artificial
CAPTCHA
captchas
image recognition
convolutional neural network
learning (artificial intelligence)
adversarial examples
image classification
Resistance
Perturbation methods
composability
Mathematical model
security
Human behavior
pubcrawl
Neural networks
convolutional neural nets
CNN
machine learning
biblio
Cryptography by Synchronization of Hopfield Neural Networks that Simulate Chaotic Signals Generated by the Human Body
Submitted by aekwall on Tue, 09/08/2020 - 10:11am
chaotic communication
reconfigurable hardware
random number sequence
human body
Hopfield neural networks
Hopfield neural nets
encryption circuit
dynamic systems
chaotic synchronization
chaotic signal simulation
asymmetric cryptography method
reconfigurable architectures
chaotic cryptography
field programmable gate arrays
Predictive Metrics
Dynamical Systems
random number generation
Neural networks
Synchronization
synchronisation
composability
pubcrawl
Resiliency
information security
Cryptography
FPGA
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