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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
convolutional neural networks
biblio
Classifying Malware Using Convolutional Gated Neural Network
Submitted by
grigby1
on Mon, 06/10/2019 - 2:01pm
CNN
convolutional gated recurrent neural network model
convolutional neural networks
Deep Neural Network
feedforward neural nets
Gated Recurrent Unit
Human behavior
information technology society
invasive software
Logic gates
machine learning
malicious software
malware
malware classification
malware detection
Metrics
microsoft malware classification challenge
neural network
pattern classification
privacy
pubcrawl
recurrent neural nets
Recurrent neural networks
resilience
Resiliency
Task Analysis
biblio
Malware Classification with Deep Convolutional Neural Networks
Submitted by
grigby1
on Mon, 06/10/2019 - 2:01pm
challenging malware classification datasets
CNN
computer architecture
convolution
convolutional neural networks
deep convolutional neural networks
deep learning
deep learning approach
deep learning framework
feedforward neural nets
Gray-scale
grayscale images
Human behavior
image classification
invasive software
learning (artificial intelligence)
Learning systems
machine learning
machine learning approaches
Malimg malware
malware
malware binaries
malware classification
Metrics
Microsoft malware
privacy
pubcrawl
resilience
Resiliency
Support vector machines
biblio
Malware Classification Using Deep Convolutional Neural Networks
Submitted by
grigby1
on Mon, 06/10/2019 - 2:01pm
privacy
resilience
feature extraction
Support vector machines
pubcrawl
Human behavior
Metrics
visualization
invasive software
convolutional neural networks
learning (artificial intelligence)
machine learning
malware
neural network
Correlation
support vector machine
image classification
image representation
object detection
convolutional neural network
malware classification
classification
Gray-scale
Resiliency
convolutional neural nets
accuracy levels
classifier
DCNN classification
deep convolutional neural networks
deep learning techniques
Hamming distance
image features
image type
improved image representation
learning models
malware binaries
malware images
Pattern recognition
support vector machine classifier training
transfer learning
visual patterns
biblio
Detecting Cyber Attacks in Industrial Control Systems Using Convolutional Neural Networks
Submitted by
grigby1
on Thu, 05/09/2019 - 10:47am
resilience
pubcrawl
Resiliency
Scalability
Anomaly Detection
Industrial Control Systems
scalable
convolutional neural networks
biblio
Effective Botnet Detection Through Neural Networks on Convolutional Features
Submitted by
grigby1
on Fri, 04/05/2019 - 10:23am
botnet
Botnet detection
botnet detection system
botnets
Compositionality
Computer crime
computer network security
convolution
convolutional features
convolutional neural networks
cybercrimes
DDoS Attacks
feature extraction
feed-forward artificial neural network
feedforward neural nets
internet
invasive software
IP networks
learning (artificial intelligence)
machine learning
Metrics
Network traffic classification
Neural networks
P2P botnet datasets
Payloads
Peer-to-peer computing
pubcrawl
resilience
Resiliency
Servers
telecommunication traffic
Training
biblio
Low-Cost Breaking of a Unique Chinese Language CAPTCHA Using Curriculum Learning and Clustering
Submitted by
aekwall
on Mon, 04/01/2019 - 10:08am
automated access
CAPTCHA
captchas
Chinese language question-and-answer Website
CNN
composability
convolution
convolutional neural network
convolutional neural networks
correct response
curriculum clustering
curriculum learning
feature map
feedforward neural nets
Human behavior
human user
image distortion
inverted character
inverted characters
inverted symbols
Kernel
learning (artificial intelligence)
low-cost breaking
machine learning methods
microsoft windows
natural language processing
OCR software
optical character recognition
pattern clustering
potential training methods
pubcrawl
security
Task Analysis
text analysis
text distortion
text-based CAPTCHAs focus
Training
transcription tasks
unique Chinese language CAPTCHA
web services
Web sites
biblio
A Text-Based CAPTCHA Cracking System with Generative Adversarial Networks
Submitted by
aekwall
on Mon, 04/01/2019 - 10:07am
security of data
Human behavior
pubcrawl
composability
Training
text analysis
CNN
convolutional neural nets
computer security
convolutional neural networks
captchas
CAPTCHA
cDCGAN
Completely Automated Public Turing Test to Tell Computers and Humans Apart
conditional deep convolutional generative adversarial networks
Fans
generative adversarial networks
multimedia computing
multimedia security mechanism
Multimedia systems
Pearson correlation coefficients
small sample problem
text-based CAPTCHA
text-based CAPTCHA cracking system
biblio
Verification CAPTCHA Based on Deep Learning
Submitted by
aekwall
on Mon, 04/01/2019 - 10:07am
security of data
feature extraction
learning (artificial intelligence)
Human behavior
pubcrawl
composability
deep learning
Neurons
internet
Training
convolutional neural networks
Biological neural networks
CAPTCHA
CAPTCHA recognition
captcha segmentation
captchas
convolution
convolution neural network model
end-to-end
feedforward neural nets
image recognition
image segmentation
network structure
Pattern recognition
verification captcha
VGGNet model
biblio
Using Convolutional Neural Networks to Network Intrusion Detection for Cyber Threats
Submitted by
grigby1
on Fri, 03/15/2019 - 11:53am
privacy
security of data
pubcrawl
Metrics
feature extraction
Training
convolution
convolutional neural networks
feedforward neural nets
learning (artificial intelligence)
deep learning
Conferences
Support vector machines
pattern classification
network intrusion detection
Intrusion Detection
threat vectors
Behavior features
cyber threats
LeNet-5
network behavioural features
network threat classification
threat detection classification
biblio
Toward Trustworthy Deep Learning in Security
Submitted by
aekwall
on Mon, 03/11/2019 - 10:38am
pubcrawl
composability
trustworthiness
classification criteria
convolutional neural networks
guided grad-cam
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