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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
deep learning models
biblio
Copy-move Image Forgery Localization Using Deep Feature Pyramidal Network
Submitted by aekwall on Thu, 05/19/2022 - 1:43pm
Performance analysis
Tamper resistance
VGG with FPN
location awareness
deep learning models
Copy move forgery
Buster Net
Forensics
process control
Human Factors
Resistance
Metrics
Scalability
pubcrawl
feature extraction
social networking (online)
deep learning
biblio
Deep Learning Enabled Intrusion Detection and Prevention System over SDN Networks
Submitted by grigby1 on Tue, 03/09/2021 - 2:38pm
SAE
malicious packets
MLP
Multilayer Perceptron
multilayer perceptrons
network configuration
packet length
Payloads
policy-based governance
prevention system
pubcrawl
machine learning
SDN networks
SDN switch
secure shell brute-force attacks
Software Defined Network
software defined networking
Software Defined Networks
SSH Brute-force
SSH brute-force attack
stacked auto-encoder
Switches
deep learning models
brute force attacks
centralized management approach
Computer crime
computer network security
convolutional neural nets
convolutional neural network
data planes
DDoS Attack
DDoS Attacks
deep learning
anomalous packets
denial-of-service attacks
DL-IDPS
Force
Human behavior
Human Factors
Intrusion Detection
learning (artificial intelligence)
Long short-term memory
LSTM
biblio
An Approach to Embedding a Style Transfer Model into a Mobile APP
Submitted by aekwall on Mon, 02/01/2021 - 11:44am
pre-trained convolutional neural network model
Economic indicators
mobile users
deep learning models
neural style transfer
Mobile app
embedding CNN models
Perceptual Losses algorithm
photo processing apps
Feedforward neural networks
proceeding time
shorten waiting time
Style transfer model
TensorFlow Mobile library
time 2.0 s
time 2.8 s
traditional style transfer model
Scalability
feedforward neural network
image restoration
Predictive Metrics
feedforward neural nets
software libraries
mobile phone
convolutional neural nets
testing
machine learning
pubcrawl
Resiliency
learning (artificial intelligence)
mobile computing
Internet of Things
Big Data
biblio
DeepfakeStack: A Deep Ensemble-based Learning Technique for Deepfake Detection
Submitted by grigby1 on Fri, 01/15/2021 - 12:00pm
innovative applications
deepfake detection
Deepfake multimedia
DeepfakeStack
generative adversarial network models
Greedy Layer-wise Pretraining
human perception
hyper-realistic images
improved composite classifier
deep ensemble-based
legitimate applications
manipulated audio
manipulated videos
numerous nefarious ways
Political Campaigns
Realtime Deepfake detector
state-of-art classification models
unlawful ways
resilience
pubcrawl
Human behavior
Human Factors
Metrics
Resiliency
Scalability
pattern classification
Computer crime
learning (artificial intelligence)
deep learning models
gan
GANs
DeepFake
video clips
counterfeit contents
Deep Ensemble Learning
deep ensemble learning technique
biblio
Detecting Malicious Web Requests Using an Enhanced TextCNN
Submitted by aekwall on Mon, 12/14/2020 - 12:31pm
Convolutional Neural Network for Text Classification (TextCNN)
Web servers
deep learning
Semantics
Uniform resource locators
Predictive Metrics
web security
deep learning models
convolutional neural network for text classification
file servers
HTTP Dataset CSIC 2010
malicious Web request detection
Malicious Web requests detection
support vector machine (SVM)
TextCNN
Transferable statistical features
Web attack detection
composability
Data models
Support vector machines
support vector machine
feature extraction
learning (artificial intelligence)
machine learning
Resiliency
pubcrawl
security of data
pattern classification
internet
text analysis
convolutional neural nets
convolutional neural networks
text classification
statistical analysis
biblio
On the Investigation of Essential Diversities for Deep Learning Testing Criteria
Submitted by aekwall on Mon, 11/02/2020 - 2:47pm
Measurement
testing criteria
testing
test suites
test diversities
Task Analysis
system robustness
Reliability
pubcrawl
program testing
Neurons
neuron activities
Metrics
metamorphic testing
metrics testing
deep learning
learning (artificial intelligence)
image retrieval
fault diagnosis
fault detection ability
fault detection
essential metrics
essential diversities
erroneous behaviors
defined metrics
deep learning testing criteria
Deep Learning testing
deep learning systems
deep learning models
biblio
Towards Efficient Malware Detection and Classification using Multilayered Random Forest Ensemble Technique
Submitted by grigby1 on Thu, 10/29/2020 - 11:12am
malware authors
Vision-based malware analysis
traditional malware
Resiliency
resilience
pubcrawl
privacy
pattern classification
multilayered random forest ensemble technique
microsoft windows
Metrics
malware patterns
malware images
malware detection
malware classification
Adaptation models
malware
learning (artificial intelligence)
invasive software
hybrid model
Human behavior
Gray-scale
Forestry
feature extraction
Ensemble forest
deep neural networks
deep learning models
cyber security
Computational modeling
biblio
Exploring Adversaries to Defend Audio CAPTCHA
Submitted by grigby1 on Fri, 09/11/2020 - 11:44am
bots
captchas
CAPTCHA
adversarial audio captcha
adversarial audio datasets
adversarial examples attack
attack accuracy
basic iterative method
BIM
Noise measurement
deepFool
distortion
medium background noise
near-sighted users
single audio captcha
spoken digits
Web-based authentication method
websites
composability
authorisation
machine learning
machine learning algorithms
security
pubcrawl
Human behavior
internet
deep learning
learning (artificial intelligence)
Classification algorithms
neural nets
Speech recognition
deep learning models
Web sites
attack models
handicapped aids
biblio
Node Copying for Protection Against Graph Neural Network Topology Attacks
Submitted by aekwall on Mon, 08/17/2020 - 11:18am
Topology
similarity structure
semi-supervised learning
prediction capability
node copying
graph topology
graph neural network topology attacks
graph convolutional networks
graph based machine
downstream learning task
detection problem
deep learning models
corruption
attack graphs
graph connectivity
Predictive Metrics
security of data
adversarial attacks
network topology
network theory (graphs)
Training
Prediction algorithms
Neural networks
neural nets
Computational modeling
graph theory
composability
pubcrawl
Resiliency
learning (artificial intelligence)
Task Analysis
biblio
Attacks on Digital Watermarks for Deep Neural Networks
Submitted by grigby1 on Thu, 07/30/2020 - 1:54pm
deep learning models
watermark
statistical distribution
model prediction
Mobile app
intellectual property theft
fast response times.
Digital Watermarks
deep neural networks training
Deep Neural Network
At-tack
ip protection
copy protection
Watermarking
learning (artificial intelligence)
detection algorithms
neural nets
composability
standards
Computational modeling
industrial property
Mathematical model
Resiliency
resilience
policy-based governance
pubcrawl
Neural networks
Training
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