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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
transfer learning
biblio
Malware Classification Using Recurrence Plots and Deep Neural Network
Submitted by grigby1 on Tue, 09/21/2021 - 3:56pm
pubcrawl
visualization
Transforms
transfer learning
Task Analysis
static analysis
Resiliency
resilience
Recurrence Plots
convolutional neural networks
programming
privacy
Metrics
malware classification
malware classication
malware
Human behavior
deep learning
biblio
Cross-domain Anomaly Detection for Power Industrial Control System
Submitted by grigby1 on Tue, 03/30/2021 - 11:52am
Anomaly Detection
feature extraction
ICS Anomaly Detection
industrial control
integrated circuits
Neural networks
Power ICS
Protocols
pubcrawl
resilience
Resiliency
Scalability
TrAdaBoost
Training data
transfer learning
biblio
A Small Sample DDoS Attack Detection Method Based on Deep Transfer Learning
Submitted by grigby1 on Tue, 02/16/2021 - 12:57pm
neural nets
DDoS attack detection
small-sample DDoS attack detection
small sample DDoS attack
deep transfer learning
deep learning detection technique
8LANN network
transfer learning
denial-of-service attack
Degradation
Performance analysis
Measurement
deep learning
composability
Communication networks
computer network security
Resiliency
resilience
Metrics
Human behavior
pubcrawl
Neural networks
learning (artificial intelligence)
biblio
Style transfer-based image synthesis as an efficient regularization technique in deep learning
Submitted by grigby1 on Fri, 12/11/2020 - 2:54pm
Resiliency
Neural networks
neural style transfer
newly created images
pubcrawl
Regularization
regularization techniques e.g
relatively poor generalization abilities
representative neural architectures
resilience
Metrics
Scalability
Skin
skin lesions
style transfer-based image synthesis
Task Analysis
Training
transfer learning
unlabeled images
Image analysis
challenging skin lesion classification case study
convolutional neural nets
convolutional neural networks
data augmentation
decision support system
deep learning
deep neural networks
Diagnosis
efficient regularization technique
base image
image classification
image classification purposes
image synthesis
labeled images
learning (artificial intelligence)
learning algorithms
Lesions
machine learning
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
Few-Shot Transfer Learning for Text Classification With Lightweight Word Embedding Based Models
Submitted by aekwall on Mon, 11/02/2020 - 2:30pm
pooling strategy
Few-shot learning
few-shot transfer learning tasks
lightweight word embedding-based models
modified hierarchical pooling strategy
parameter-free pooling operations
parameter-free property
parameters training
plug-and-play way
deep learning architectures
semantic compositionality
Semantic Networks
semantic text
simple word embedding-based models
supervised data
unseen text sequences
word embedding based models
word processing
text categorization
Data models
feature extraction
Human behavior
pubcrawl
Computational modeling
pattern classification
Training
text analysis
Task Analysis
text classification
transfer learning
deep learning
Human Factors
Compositionality
Computing Theory and Compositionality
supervised learning
data-hungry deep models
biblio
An Xception Convolutional Neural Network for Malware Classification with Transfer Learning
Submitted by grigby1 on Thu, 10/29/2020 - 11:10am
Microsoft malware dataset
Xception model
Xception convolutional neural network
Xception
VGG16 model
transfer learning
Training
testing
Support vector machines
special CNN architecture
Resiliency
resilience
pubcrawl
privacy
Predictive models
pattern classification
CNN models
Metrics
malware image classification
malware classification problem
malware classification
malware
learning (artificial intelligence)
invasive software
image-based malware classification
image classification
Human behavior
Gray-scale
feature extraction
ensemble model
convolutional neural network (CNN)
convolutional neural nets
biblio
TrustSign: Trusted Malware Signature Generation in Private Clouds Using Deep Feature Transfer Learning
Submitted by grigby1 on Fri, 07/10/2020 - 1:08pm
supervised classifiers
Metrics
neural nets
private clouds
program diagnostics
pubcrawl
ransomware samples
resilience
Resiliency
static analysis
malware
transfer learning
Trusted Computing
trusted malware signature generation method
TrustSign signature generation process
unsupervised classifier
Unsupervised Learning
VGG-19 neural network model
virtualisation
volatile memory
distribution time
Cloud Computing
cloud virtualization technology
convolutional neural networks
Cryptography
cryptojacking
cryptojacking attacks
deep feature transfer learning
deep learning
digital signatures
Automatic Signature Generation
dynamic analysis
fileless malware
high-level deep features
Human behavior
Human Factors
ImageNet dataset
in-browser cryptojacking attacks
inspection procedure
invasive software
biblio
Preserving Privacy in Convolutional Neural Network: An ∊-tuple Differential Privacy Approach
Submitted by aekwall on Mon, 06/22/2020 - 11:20am
Deep Neural Network
ϵ-tuple differential privacy approach
Training data
significant accuracy degradation
salient data features
reusable output model
privacy preserving model
privacy concern
model inversion attack
model buildup data
financial data
deep neural networks
complex data features
medical data
CNN model
differential privacy
Cloud Computing
transfer learning
image recognition
convolutional neural network
convolutional neural nets
CNN
privacy
classification
composability
pubcrawl
Human behavior
Resiliency
learning (artificial intelligence)
data privacy
Scalability
biblio
An Adaptive Approach for Anomaly Detector Selection and Fine-Tuning in Time Series
Submitted by grigby1 on Tue, 01/21/2020 - 11:59am
Anomaly Detection
Compositionality
expandability
joint learning network
pubcrawl
resilience
Resiliency
self-adaption
time series
transfer learning
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