learning (artificial intelligence)

biblio

Facial expression recognition based on the ensemble learning of CNNs

Submitted by grigby1 on Mon, 03/29/2021 - 1:02pm

high-performance facial recognition
Training
SVM classifier
Support vector machines
Resiliency
resilience
pubcrawl
psychology
psychological state
Metrics
learning (artificial intelligence)
image recognition
image classification
Human behavior
facial recognition
FER2013 dataset
feature extraction
facial expression recognition method
facial expression recognition
face recognition
Ensemble Learning
emotion recognition
convolutional neural networks
convolutional neural network ensemble learning
convolutional neural nets
CNN
body language

biblio

A Deep Learning-based Malware Hunting Technique to Handle Imbalanced Data

Submitted by aekwall on Mon, 03/29/2021 - 11:59am

Generative Adversarial Network(GAN)
generative adversarial network
LSTM
Predictive Metrics
machine learning approaches
antivirus companies
common threats
convolutional neural network (CNN)
cyber-security dangers
deep learning-based malware hunting technique
deep learning
Imbalanced
imbalanced training data sets
long short term memory
Long Short Term Memory(LSTM)
multiple class classification problems
Opcode
opcode sequences
oversampling minority classes
Generative Adversarial Learning
pattern classification
malware
invasive software
Data models
machine learning algorithms
feature extraction
learning (artificial intelligence)
Resiliency
pubcrawl
Computational modeling
Scalability
internet
Training
CNN
convolutional neural nets
convolutional neural network
generative adversarial networks
recurrent neural nets
malware samples

biblio

A Learning-based Data Augmentation for Network Anomaly Detection

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

divide-augment-combine strategy
sampling methods
class imbalance problem
network anomaly detection
attack instances
augments data
data augmentation
data instances
Divide-Augment-Combine
Gallium nitride
generative adversarial model
high-quality data
learning-based data augmentation
network traffic traces
public network datasets
statistical sampling
synthetic instances
Generative Adversarial Learning
pattern classification
Scalability
Data models
Support vector machines
learning (artificial intelligence)
machine learning
Resiliency
pubcrawl
neural nets
security of data
Anomaly Detection
network traffic
Generators
generative adversarial networks
generative adversarial network
Predictive Metrics
data handling

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

Think Smart, Play Dumb: Analyzing Deception in Hardware Trojan Detection Using Game Theory

Submitted by aekwall on Mon, 03/29/2021 - 11:51am

Repeated game
zero-sum
third-party companies
prospect theory
optimal deception rationality
offshore manufacturing
multilevel game-theoretic framework
manufactured ICs
malicious IC manufacturer
learning stage
IC designers
Hardware Trojans
hardware Trojan detection
first-step deception mitigation process
deception analysis
actual game stage
Scalability
hypergame theory
integrated circuits
game theoretic security
Predictive Metrics
Human Factors
Cybersecurity
supply chains
Supply Chain
pubcrawl
Resiliency
learning (artificial intelligence)
deception
invasive software
game theory

biblio

Generic Modeling of Differential Striplines Using Machine Learning Based Regression Analysis

Submitted by aekwall on Mon, 03/22/2021 - 1:10pm

design of experiments
tabular W-element model
strip lines
recursive approach
machine learning based regression analysis
generic model
frequency-dependent dielectric loss
electrical engineering computing
DoE
differential stripline generic modeling
dielectric losses
data points
learning (artificial intelligence)
linear regression model
TensorFlow
linear regression
ANN
Compositionality
expandability
regression analysis
Hafnium
pubcrawl
Resiliency
machine learning

biblio

A Monitoring Framework for Side-Channel Information Leaks

Submitted by grigby1 on Mon, 03/15/2021 - 1:10pm

monitor ambient light
side-channel sources
side-channel research
side-channel information leaks
side-channel detection
sensitive information
Resiliency
resilience
recent computer security research
pubcrawl
program security requirements
private information
privacy
popular memory safety
penetration testing tools
monitoring framework
classical exploitation techniques
Metrics
memory corruption
learning (artificial intelligence)
known design patterns
injection tools
indirect means
exploitation framework
data privacy
Cryptography
computer systems
computer network security
Computer Engineering
composability
command injection attacks

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Cyber-Physical Systems Virtual Organization

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

learning (artificial intelligence)

Facial expression recognition based on the ensemble learning of CNNs

A Deep Learning-based Malware Hunting Technique to Handle Imbalanced Data

A Learning-based Data Augmentation for Network Anomaly Detection

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

Think Smart, Play Dumb: Analyzing Deception in Hardware Trojan Detection Using Game Theory

Generic Modeling of Differential Striplines Using Machine Learning Based Regression Analysis

A Monitoring Framework for Side-Channel Information Leaks