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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
deep neural networks
biblio
Deep Embedding Logistic Regression
Submitted by aekwall on Mon, 05/11/2020 - 11:28am
Predictive models
nonlinear dimension-wise feature embedding
narrow neural network
LR
interpretability
DNNs
DELR
deep embedding logistic regression
classification accuracy
actionability
network accountability
accountability
deep neural networks
Numerical models
Kernel
regression analysis
Mathematical model
Logistics
pattern classification
Neural networks
neural nets
Metrics
classification
composability
pubcrawl
Resiliency
learning (artificial intelligence)
feature extraction
biblio
Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security
Submitted by grigby1 on Fri, 05/08/2020 - 3:02pm
computer security
Neural Network Security
network intrusion detection system
N-IDS
ICT system
DNN
cyber safety
classical machine learning algorithms
advanced cyber attacks
Biological neural networks
deep neural networks
Metrics
neural nets
learning (artificial intelligence)
deep learning
cyber security
Resiliency
resilience
policy-based governance
pubcrawl
Intrusion Detection
machine learning algorithms
machine learning
collaboration
Training
security of data
biblio
Cyberthreat Detection from Twitter using Deep Neural Networks
Submitted by grigby1 on Fri, 05/08/2020 - 2:43pm
security alert
Neural Network Security
Neural networks
open source intelligence platforms
OSINT
pipeline processing
policy-based governance
pubcrawl
public domain software
recurrent neural nets
Resiliency
named entity recognition task
security information
security of data
security-related information
social media networks
social networking (online)
Task Analysis
threat detection
tools
Twitter
cyberthreat detection
bidirectional long short-term memory network
classification task
collaboration
computer security
convolutional neural nets
convolutional neural network
cyber physical systems
cybersecurity information
cybersecurity-related sources
Artificial Neural Networks
cyberthreat intelligence
deep learning
deep neural networks
event management systems
indicators of compromise
information streams
IT infrastructure
learning (artificial intelligence)
Metrics
biblio
Anomaly Detection using Graph Neural Networks
Submitted by grigby1 on Fri, 05/08/2020 - 2:43pm
security of data
Neural networks
pattern classification
pattern clustering
Peer-to-peer computing
policy-based governance
pubcrawl
Resiliency
security
Neural Network Security
social connection graphs
social network
social network statistical measures
social networking (online)
statistical analysis
Twitter
Twitter dataset
Twitter network
email network
Artificial Neural Networks
classification
clustering
Clustering algorithms
collaboration
cyber physical systems
deep learning
deep neural networks
Anomaly Detection
Enron dataset
Graph Neural Network
graph neural networks
graph structure
graph theory
learning (artificial intelligence)
Metrics
neural nets
biblio
Understanding the Influence of Graph Kernels on Deep Learning Architecture: A Case Study of Flow-Based Network Attack Detection
Submitted by aekwall on Mon, 05/04/2020 - 11:15am
deep learning
networked system
network security practices
network attack detection technology
network attack detection tasks
network attack detection
Graph Kernel
flow-based network attack detection
deep learning architecture
anomaly-based approaches
Network Security Architecture
deep neural networks
Computer crime
network traffic
convolutional neural nets
Neural networks
graph theory
pubcrawl
Resiliency
learning (artificial intelligence)
computer architecture
Kernel
IP networks
computer network security
biblio
Certified Robustness to Adversarial Examples with Differential Privacy
Submitted by aekwall on Mon, 04/20/2020 - 10:31am
machine learning models
privacy models and measurement
Sophisticated Attacks
PixelDP
norm-bounded attacks
machine-learning
ImageNet
Google Inception network
defense
Deep-learning
cryptographically-inspired privacy formalism
certified robustness
certified defense
Adversarial-Examples
adversarial examples
Cryptography
deep neural networks
differential privacy
Predictive models
Measurement
Mathematical model
Databases
neural nets
standards
Robustness
Metrics
pubcrawl
learning (artificial intelligence)
security
data privacy
biblio
Adversarial Defense via Learning to Generate Diverse Attacks
Submitted by grigby1 on Fri, 04/17/2020 - 10:58am
neural nets
White Box Security
Training
stochastic generator
security of data
Robustness
Resiliency
resilience
recursive generator
pubcrawl
Perturbation methods
pattern classification
optimization
one-shot perturbation
Neural networks
adversarial defense
Metrics
malicious attacks
machine learning
learning (artificial intelligence)
Generators
deterministic generator
deep neural networks
deep learning
Compositionality
composability
classification performance
black-box attacks
Adversarial training
biblio
Enabling Adaptive Deep Neural Networks for Video Surveillance in Distributed Edge Clouds
Submitted by aekwall on Mon, 04/13/2020 - 10:28am
video surveillance
two-stage delay-aware graph searching approach
task scheduling
remote clouds
network delay
network cameras
intelligent video surveillance task scheduling problem
input video segment
feature similarity
distributed edge clouds
computing delay
adaptive DNN model selection method
adaptive deep neural networks
NP-hard
Computation offloading
deep neural networks
Cloud Computing
scheduling
edge computing
video signal processing
image segmentation
computational complexity
resource allocation
neural nets
Metrics
graph theory
pubcrawl
Human behavior
Resiliency
learning (artificial intelligence)
feature extraction
biblio
Image steganography using texture features and GANs
Submitted by aekwall on Mon, 03/30/2020 - 11:40am
complex texture regions
varisized images
truncated layer
texture-based loss
texture features
texture feature
stego images
stego image distortions
natural images
invisible perturbations
Image Steganography
hidden writing
encoder-decoder framework
cover images
convolutional network
feature extraction
Adversarial training
adversarial discriminator
Steganography
secret information
mean squared error
image texture
deep neural networks
QR codes
QR code
cyber physical systems
Cryptography
pubcrawl
Resiliency
biblio
Analysis of Cybersecurity Threats in Cloud Applications Using Deep Learning Techniques
Submitted by grigby1 on Wed, 02/26/2020 - 4:41pm
IDS
threat vectors
telecommunications equipment
Support vector machines
security of data
pubcrawl
privacy
neural nets
Metrics
Measurement
learning (artificial intelligence)
cloud applications
enterprise grade security applications
enterprise applications
deep neural networks
deep learning techniques
deep learning
cybersecurity threats
Cybersecurity
cloud environments
Cloud Computing
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