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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
Deep Neural Network
biblio
Adaptive Margin Based Deep Adversarial Metric Learning
Submitted by grigby1 on Tue, 04/27/2021 - 2:38pm
Adaptive Margin
adversarial learning
Big Data
deep metric learning
Deep Neural Network
Metrics
pubcrawl
resilience
Resiliency
Scalability
security
biblio
Smart Security Audit: Reinforcement Learning with a Deep Neural Network Approximator
Submitted by aekwall on Tue, 04/27/2021 - 1:29pm
Scalability
Task Analysis
Adaptation models
Resiliency
Human behavior
pubcrawl
audit
Reinforcement learning
tools
Penetration Testing
Biological neural networks
Deep Neural Network
Security Audits
pentesting
q-learning
biblio
Is Spiking Secure? A Comparative Study on the Security Vulnerabilities of Spiking and Deep Neural Networks
Submitted by aekwall on Tue, 04/27/2021 - 1:10pm
security
cyber-physical systems
Resiliency
pubcrawl
machine learning
Robustness
Neurons
Training
Neural networks
resilience
Biological neural networks
image recognition
attack
Vulnerability
DNN
Perturbation methods
Deep Neural Network
belief networks
adversarial examples
SNN
Spiking Neural Networks
biblio
Accurate Deep Net Crowd Counting for Smart IoT Video acquisition devices
Submitted by grigby1 on Mon, 01/11/2021 - 2:01pm
camera characteristics
Cameras
computer architecture
consistency
Crowd density estimation
crowd management tasks
crowdsourcing
deep architecture
deep net crowd counting
Deep Neural Network
deep video
estimation
feature extraction
Internet of Things
Internet of Things cameras
IoT cameras
Kernel
Metrics
neural nets
object detection
pubcrawl
pyramid contextual module
resilience
Resiliency
Robustness
Scalability
security
security system
Self attention network
smart IoT video acquisition devices
video surveillance
biblio
Research on Neural Networks Integration for Object Classification in Video Analysis Systems
Submitted by grigby1 on Mon, 01/11/2021 - 1:59pm
convolutional neural networks
Deep Neural Network
deep video
direct Python script execution techniques
false detections
image classification
image motion analysis
image sequence
image sequences
Keras
Keras developer-friendly environment
Keras integration
Metrics
moving objects detection
network architectures
network training
neural nets
neural networks integration
object classification
object detection
Object recognition
outdoor video surveillance cameras
pubcrawl
resilience
Resiliency
Scalability
TensorFlow
video analysis
video analysis system
video cameras
video signal processing
video surveillance
video surveillance system
biblio
Design of Intrusion Prevention System for OT Networks Using Deep Neural Networks
Submitted by aekwall on Mon, 01/11/2021 - 1:36pm
SCADA Systems Security
Air gaps
automation industries
automation scenarios
behavior-based intrusion prevention system
computer network security
cyber-attacks
data acquisition
data acquisition systems
Deep Neural Network
deep neural networks
deep packet inspection
DNP3
DoS attack
feature extraction
industrial control
Industries
industry control system
insider attacks
integrated circuits
internet
intrusion prevention system
invasive software
IPS system
malware
Modbus
network threats
neural nets
Neural networks
operational technology system elements
OT Network
OT networks
Protocols
pubcrawl
Resiliency
SCADA
SCADA systems
SCADA test bed
Scalability
telecommunication security
biblio
Network Anomaly Detection Based on Deep Support Vector Data Description
Submitted by aekwall on Mon, 12/14/2020 - 12:30pm
security of data
intrusion detection system
Data models
Support vector machines
feature extraction
Resiliency
pubcrawl
composability
Neural networks
Big Data
Training
convolutional neural nets
convolutional neural network
telecommunication traffic
Anomaly Detection
Deep Neural Network
Unsupervised Learning
Predictive Metrics
representation learning
deep support vector data description
Deep-SVDD
KDD CUP99 dataset
malicious traffic detection system
network anomaly detection
network traffic anomaly detection
normal traffic features
support data vector description
biblio
DeepRing: Protecting Deep Neural Network With Blockchain
Submitted by grigby1 on Tue, 12/01/2020 - 2:00pm
appropriate loss functions
authorisation
blockchain
centralized authority
commercial perspectives
computer architecture
computer vision
computer vision applications
cryptographic hash
Cryptography
cybersecurity industry
decryption algorithms
deep learning based architectures
Deep Neural Network
DeepRing
face recognition
Human behavior
human intervention
human trust
learned parameters
learning (artificial intelligence)
machine learning
neural nets
object detection
optimizers
pubcrawl
Public key
technical perspectives
biblio
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks
Submitted by grigby1 on Wed, 11/04/2020 - 2:15pm
Adversarial Machine Learning
AI Poisoning
automation
autonomous vehicles
convolutional neural nets
Correlation
data manipulation attacks
data poisoning attacks
Deep Neural Network
deep neural networks
DNNs
feature extraction
generated attack images
German Traffic Sign Recognition Benchmarks dataset
Human behavior
image classification
Image coding
image recognition
imperceptibility factor
imperceptible attack images
Imperceptible Attack Noise
Inference algorithms
learning (artificial intelligence)
machine learning
ML Security
multilevel security system
object detection
Object recognition
optimization
Optimization algorithms
perceptible noise
pre-trained DNNs
pubcrawl
resilience
Resiliency
Scalability
security
security of data
structural similarity analysis
traffic sign detection
Training
training data-unaware imperceptible security attacks
training dataset
biblio
Reinforcement Learning inspired Deep Learned Compositional Model for Decision Making in Tracking
Submitted by grigby1 on Mon, 10/05/2020 - 2:01pm
cluttered background
Compositional Models
Compositionality
Computational modeling
computer science
Decision Making
deep learned compositional model
Deep Neural Network
deep reinforcement
heuristic methods
human bodies
human inputs
image representation
incessant decision making
learning (artificial intelligence)
Markov processes
Mathematical model
multiple large video datasets
neural nets
object tracking
occlusion handling
partial occlusions
partially observable Markov decision making
penalty based training
pose estimation
pose estimation capabilities
previous location
pubcrawl
Reinforcement learning
skeleton based part representation
Streaming media
target tracking
tracker
tracking
video signal processing
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