Training

biblio

Addressing Imbalanced Data Problem with Generative Adversarial Network For Intrusion Detection

Submitted by aekwall on Mon, 03/29/2021 - 11:58am

Neural network (NN)
imbalanced data problem
Imbalanced dataset
Intrusion Detection
learning (artificial intelligence)
machine learning
MLP Neural Network
Multilayer Perceptron
multilayer perceptrons
network security.
Generators
Neural networks
pattern classification
Predictive Metrics
pubcrawl
Scalability
security of data
Training
UGR16 dataset
Cyber Attacks
Compositionality
Resiliency
adversarial samples
Attack detection
attack labels
balanced attack sample dataset
benign data
classification
Information Reuse and Security
Data models
data wrangling
defense mechanisms
Gallium nitride
Generative Adversarial Learning
generative adversarial network
Generative Adversarial Network (GAN)
generative adversarial networks

biblio

Detecting Adversarial Examples for Network Intrusion Detection System with GAN

Submitted by aekwall on Mon, 03/29/2021 - 11:58am

machine learning
Training
security
Scalability
Resiliency
pubcrawl
Predictive Metrics
neural nets
network intrusion system
network intrusion detection
network and data security
machine learning algorithms
adversarial examples detection
learning (artificial intelligence)
intelligent network intrusion detection system
Generators
generative adversarial networks
Generative Adversarial Learning
gan
defense technology
data distribution
computer network security
bidirectional generative adversarial network
adversarial sample

biblio

imdpGAN: Generating Private and Specific Data with Generative Adversarial Networks

Submitted by aekwall on Mon, 03/29/2021 - 11:57am

Predictive Metrics
Generative Adversarial Learning
Privacy-preserving Learning
learning latent representations
learned representations
information maximizing differentially private generative adversarial network
imdpGAN
end to end framework
personally identifiable information
binary classification
face recognition
privacy protection
private data
Scalability
differential privacy
deep learning
generative adversarial networks
Generators
Training
Data protection
pattern classification
neural nets
privacy
pubcrawl
Resiliency
learning (artificial intelligence)

biblio

Polymorphic Adversarial DDoS attack on IDS using GAN

Submitted by aekwall on Mon, 03/29/2021 - 11:57am

adversarial data
Intrusion Detection
Generators
generative adversarial networks
Predictive Metrics
Malicious Traffic
Intrusion Detection Systems
gan
adversarial attacks
natural language processing
adversarial DDoS attacks
Attack Profile
defensive systems
generative adversarial networks (GAN)
polymorphic Adversarial DDoS attack
unknown types
Generative Adversarial Learning
security of data
Training
incremental learning
machine learning
pubcrawl
Resiliency
learning (artificial intelligence)
feature extraction
DDoS Attacks
machine learning algorithms
Data models
malware
telecommunication security
Scalability
IDS
computer network security

biblio

Applying of Generative Adversarial Networks for Anomaly Detection in Industrial Control Systems

Submitted by aekwall on Mon, 03/29/2021 - 11:56am

Industrial Control Systems
Training
security of data
Scalability
Resiliency
pubcrawl
production engineering computing
Predictive Metrics
neural nets
Intrusion Detection
Integrated circuit modeling
information security
industrial processes anomaly detection
industrial process
industrial control systems (ICS)
ICS Anomaly Detection
industrial control
ICs
Generators
generative adversarial networks (GAN)
generative adversarial networks
Generative Adversarial Learning
deep learning
Data models
Cyber Attacks
control engineering computing
computer architecture
BiGAN architecture
Anomaly Detection

biblio

An Improved Fuzzy Min–Max Neural Network for Data Classification

Submitted by aekwall on Mon, 03/22/2021 - 1:12pm

Brain modeling
semiperimeter
pattern classification problems
k-nearest FMM
improved fuzzy min-max network
improved FMM network
IFMM network
hyperbox semiperimeter
hyperbox classifier
histopathological images
fuzzy neural nets
fuzzy min–max (FMM) neural network
fuzzy min-max network
Euclidian geometry
Enhanced fuzzy min–max (EFMM) model
Adaptation models
minimax techniques
adaptive systems
Compositionality
expandability
data classification
image classification
Biological neural networks
Artificial Neural Networks
fuzzy set theory
Training
pattern classification
pubcrawl
Resiliency
nearest neighbour methods

biblio

ComPy-Learn: A toolbox for exploring machine learning representations for compilers

Submitted by aekwall on Mon, 03/15/2021 - 12:07pm

compilers
program compilers
Clang
LLVM
compiler security
empirical evaluation
Clang compiler
Code Representations
compiler heuristics
Compositionality
ComPy-Learn
developer productivity
graph representations
LLVM compiler backend
program code
software engineering tools
software performance
syntax-level language information
tools
Task Analysis
Program processors
learning (artificial intelligence)
Resiliency
pubcrawl
machine learning
Metrics
optimization
Scalability
Training
software engineering
public domain software
Vulnerability prediction
program diagnostics
Predictive models
Pipelines

biblio

Deep Learning for Spectrum Anomaly Detection in Cognitive mmWave Radios

Submitted by aekwall on Mon, 03/15/2021 - 12:05pm

millimetre wave communication
auxiliary classifier generative adversarial network
Cognitive mmWave Radios
Cognitive Radios
complex dynamic radio environment
conditional generative adversarial network
dynamic radio spectrum
Generative Models
Millimeter Wave
Millimeter Wave band
AC-GAN
mmWave dataset
mmWave spectrum
secure radios
shared access medium
spectrum anomalies
spectrum anomaly detection
variational auto encoder
Cognitive Radio Security
Anomaly Detection
telecommunication security
feature extraction
learning (artificial intelligence)
Resiliency
pubcrawl
Communication system security
Wireless communication
neural nets
Training
Internet of Things
probability
telecommunication computing
generative adversarial networks
deep learning
radio spectrum management
Gallium nitride
cognitive radio
deep generative models

biblio

Black-Box Modelling of a DC-DC Buck Converter Based on a Recurrent Neural Network

Submitted by aekwall on Tue, 03/09/2021 - 12:04pm

autoregressive processes
Training
System Identification
switching convertors
static behavior
recurrent nonlinear autoregressive exogenous neural network
prediction
power converter
nonsynchronous buck converter model
DC-DC power converter
DC-DC buck converter
black-box modelling
black-box model
black-box approach
Resiliency
black-box models
radial basis function networks
Artificial Neural Networks
multilayer perceptrons
DC-DC power convertors
recurrent neural network
recurrent neural nets
black box encryption
power engineering computing
neural network
Metrics
composability
pubcrawl

biblio

Substitute Model Generation for Black-Box Adversarial Attack Based on Knowledge Distillation

Submitted by aekwall on Tue, 03/09/2021 - 12:04pm

deep convolutional neural network
black-box models
adversarial attack perturbation
attacking success rate
black-box adversarial attack
black-box adversarial samples
black-box CNN models
classification mechanism
compact student model
adversarial samples
DenseNet121
knowledge distillation
multiple CNN teacher models
ResNet18
substitute model
substitute model generation
white-box attacking methods
convolutional neural networks
learning (artificial intelligence)
Resiliency
pubcrawl
composability
Computational modeling
Metrics
Training
convolutional neural nets
Task Analysis
black box encryption
image classification
Predictive models
computer vision
Perturbation methods
Approximation algorithms
computer vision tasks

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Cyber-Physical Systems Virtual Organization

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

Training

Addressing Imbalanced Data Problem with Generative Adversarial Network For Intrusion Detection

Detecting Adversarial Examples for Network Intrusion Detection System with GAN

imdpGAN: Generating Private and Specific Data with Generative Adversarial Networks

Polymorphic Adversarial DDoS attack on IDS using GAN

Applying of Generative Adversarial Networks for Anomaly Detection in Industrial Control Systems

An Improved Fuzzy Min–Max Neural Network for Data Classification

ComPy-Learn: A toolbox for exploring machine learning representations for compilers

Deep Learning for Spectrum Anomaly Detection in Cognitive mmWave Radios

Black-Box Modelling of a DC-DC Buck Converter Based on a Recurrent Neural Network

Substitute Model Generation for Black-Box Adversarial Attack Based on Knowledge Distillation