neural nets

biblio

Attacking Split Manufacturing from a Deep Learning Perspective

Submitted by aekwall on Mon, 11/09/2020 - 1:42pm

integrated circuit split manufacturing
integrated circuit manufacture
Foundries
back-end-of-line parts
BEOL connections
different foundries
FEOL facility
front-end-of-line
image-based features
IP piracy
ISCAS-85benchmarks
layout-level placement
Metals
network-flow attack
security promise
sophisticated deep neural network
vector-based features
neural nets
invasive software
computer architecture
learning (artificial intelligence)
Resiliency
pubcrawl
composability
policy-based governance
deep learning
security of data
manufacturing systems
Capacitance
industrial property
Image Processing
Wires
Layout
Pins

biblio

Deep Learning Poison Data Attack Detection

Submitted by grigby1 on Wed, 11/04/2020 - 2:15pm

model definitions
variational inference approach
Variational inference
transfer learning
training phase
testing data
system-critical applications
Scalability
Resiliency
resilience
pubcrawl
pre-trained model parameters
poisonous data
poisoned training data
neural nets
network attack
adversarial information
MNIST data
maximum entropy principle
Maximum Entropy method
learning (artificial intelligence)
Human behavior
Entropy
deep neural networks
deep learning poison data attack detection
deep learning
computer network security
CNN model
Bayesian statistic
attacking training data
AI Poisoning

biblio

TensorClog: An Imperceptible Poisoning Attack on Deep Neural Network Applications

Submitted by grigby1 on Wed, 11/04/2020 - 2:12pm

resilience
neural nets
Neural networks
Perturbation methods
poisoning attack
privacy
privacy protection purpose
pubcrawl
real-world application
lower inference accuracy
Resiliency
Scalability
security of data
TensorClog poisoning technique
test error
Training
user data
user privacy violations
deep neural network applications
adversarial attack
AI Poisoning
CIFAR-10 dataset results
converged training loss
data converges
data privacy
data results
deep learning
abusive data collection
deep neural networks
different limited information attack scenarios
feature extraction
Human behavior
imperceptible poisoning attack
internet
Internet application providers
learning (artificial intelligence)

biblio

A Study of EV BMS Cyber Security Based on Neural Network SOC Prediction

Submitted by grigby1 on Wed, 11/04/2020 - 1:36pm

Measurement
statistical analysis
statistic metrics
state of charge
stability
security of data
pubcrawl
power engineering computing
NeuralWare software
neural network SOC prediction
neural network
neural nets
metrics testing
Metrics
air pollution control
greenhouse gas emission policies
EV BMS cyber security
EV batterys state of charge
Electric Vehicles
electric vehicle market
electric vehicle
cyber security threat
cyber security
BP NN
battery testing
battery testers
Backpropagation
back propagation neural network training

biblio

Embedded Software Fault Prediction Based on Back Propagation Neural Network

Submitted by grigby1 on Wed, 11/04/2020 - 1:34pm

metrics testing
Training
statistical analysis
software testing activities
software metrics
software fault tolerance
Software
pubcrawl
program testing
nonlinear fitting ability
Neurons
neural nets
back propagation neural network
Metrics
Measurement
formal verification
filter metric set
fault prediction
embedded systems
embedded software fault prediction
embedded software
Correlation
Biological neural networks
Backpropagation

biblio

A Test Cases Generation Technique Based on an Adversarial Samples Generation Algorithm for Image Classification Deep Neural Networks

Submitted by aekwall on Mon, 11/02/2020 - 2:47pm

Measurement
test cases generation technique
test cases generation
Software algorithms
Software
pubcrawl
program testing
Neural networks
neural nets
Metrics
metrics testing
adversarial samples
learning (artificial intelligence)
image classification deep neural networks
image classification
Filtering
DNN
deep learning
coverage metric
Classification algorithms
artificial intelligence tasks
adversarial samples generation algorithm

biblio

A Security System Using Deep Learning Approach for Internet of Vehicles (IoV)

Submitted by grigby1 on Mon, 11/02/2020 - 12:09pm

pubcrawl
Unsupervised Learning
supervised learning
spectrum utilization
Smart Spectrum Utilization
smart offices
Smart Environments
smart cities
security threats
security of data
secure applications
Resiliency
resilience
reliable services
reliable communication services
connected vehicles
neural nets
mobile computing
Metrics
learning (artificial intelligence)
IoV security system
IoT
Internet of Vehicles
Internet of Things
Human Factors
deep learning methodology
deep learning approach
deep learning
critical V2X infrastructures deployment
connected vehicles communication

biblio

Intrusion Detection of Industrial Control System Based on Stacked Auto-Encoder

Submitted by grigby1 on Fri, 10/16/2020 - 11:31am

multiclassification support vector machine
Training
Support vector machines
stacked auto-encoder
security of data
Scalability
Resiliency
resilience
pubcrawl
production engineering computing
pattern classification
neural nets
network data feature extraction
Analytical models
Multi-classification support vector machine
intrusion detection model
Intrusion Detection
Internet technologies
industrial production
Industrial Control Systems
industrial control system
industrial control
ICs
feature extraction
Data models
Anomaly Detection

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

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

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Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

neural nets

Attacking Split Manufacturing from a Deep Learning Perspective

Deep Learning Poison Data Attack Detection

TensorClog: An Imperceptible Poisoning Attack on Deep Neural Network Applications

A Study of EV BMS Cyber Security Based on Neural Network SOC Prediction

Embedded Software Fault Prediction Based on Back Propagation Neural Network

A Test Cases Generation Technique Based on an Adversarial Samples Generation Algorithm for Image Classification Deep Neural Networks

A Security System Using Deep Learning Approach for Internet of Vehicles (IoV)

Intrusion Detection of Industrial Control System Based on Stacked Auto-Encoder

An Algebraic Expert System with Neural Network Concepts for Cyber, Big Data and Data Migration

Neural Algebra of Classifiers