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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
convolutional neural nets
biblio
Query-Efficient Black-Box Attack by Active Learning
Submitted by
aekwall
on Mon, 07/20/2020 - 10:55am
Cryptography
learning (artificial intelligence)
Resiliency
pubcrawl
composability
Metrics
Neural networks
query processing
Labeling
Training
convolutional neural nets
machine learning model
Entropy
Deep Neural Network
Jacobian matrices
Perturbation methods
Learning systems
MNIST dataset
active learning
active learning strategy
adversarial attack
CIFAR-10 dataset
generated adversarial examples
query efficiency
query-efficient black-box attack
white-box attack approaches
white-box attack methods
white box cryptography
biblio
Human Detection and Tracking on Surveillance Video Footage Using Convolutional Neural Networks
Submitted by
grigby1
on Fri, 07/03/2020 - 1:15pm
convolutional neural nets
convolutional neural networks
deep learning
Deep Learning Convolutional Neural Networks
deep video
human behaviour
human detection
human detection framework
human position
human tracking
image filtering
image recognition
learning (artificial intelligence)
Metrics
object detection
pubcrawl
resilience
Resiliency
Scalability
security system
spatial correlation filter
Surveillance video
surveillance video footage
tracked movement
tracking algorithm
tracking algorithms
video signal processing
video surveillance
biblio
Video Data Hierarchical Retrieval via Deep Hash Method
Submitted by
grigby1
on Fri, 07/03/2020 - 1:15pm
cluster-based method
coarse search
convolutional neural nets
deep CNN
deep convolutional neural network
deep convolutional neural network model
deep hash method
deep video
Euclidean distance
feature extraction
file organisation
fine search
high-level semantical features extraction
key frame extraction
learning (artificial intelligence)
Metrics
pattern clustering
pubcrawl
resilience
Resiliency
Scalability
simHash
VGG16
video data hierarchical retrieval
video hierarchical retrieval
video retrieval
video signal processing
biblio
A deep learning approach to trespassing detection using video surveillance data
Submitted by
grigby1
on Fri, 07/03/2020 - 1:15pm
Scalability
computer architecture
machine learning
pubcrawl
Metrics
Resiliency
resilience
learning (artificial intelligence)
deep learning
convolutional neural nets
Neural networks
video surveillance
Detectors
activity detection
automated railroad trespassing detection system
background subtraction
CNN-based deep learning architecture
computer vision
deep convolutional neural networks
Deep Neural Network
dual-stage ARTS architecture
dual-stage deep learning architecture
early warning prediction techniques
high fidelity trespass classification stage
inexpensive pre-filtering stage
potential trespassing sites
public domain surveillance data
Railroad security
railroad trespassing activity
safety risks
Subspace constraints
surveillance
Trespassing detection
video processing
video surveillance data
deep video
biblio
Machine Learning Security Allocation in IoT
Submitted by
grigby1
on Fri, 06/26/2020 - 1:04pm
archive pictures
cell phones
Cellular phones
characterized highlights
CNN
composability
computational abilities
computational intricacy
constant recovery
convolutional neural nets
crop face areas
edge detection
extra face classifier
Face
face pictures
face recognition
feature extraction
financially savvy pre-prepared CNN
huge information vault
Image edge detection
Internet of Things
IoT
IoT applications
IoT condition
IoT situation
IoT-helped vitality obliged stages
learning (artificial intelligence)
light-weighted profound learning base framework
Metrics
mobile phones
nearby facial pictures dataset
numerous asset compelled gadgets mobile phones
ongoing facial picture recovery frameworks
picture utilizing Viola-Jones calculation
proficiency
pubcrawl
question
Raspberry Pi
Resiliency
Scalability
security
security allocation
Shape
Support vector machines
utilizes convolutional framework layers
Viola-Jones calculation
vitality obliged gadgets
biblio
Anomaly Detection with Graph Convolutional Networks for Insider Threat and Fraud Detection
Submitted by
grigby1
on Fri, 06/26/2020 - 1:04pm
Anomaly Detection
anomaly detection applications
anomaly detection model
associated threat groups
composability
convolutional neural nets
Data models
edge detection
feature extraction
fraud
fraud detection
GCN
graph convolutional networks
graph theory
Image edge detection
Insider Threat Detection
learning (artificial intelligence)
machine learning
malicious threat groups
Metrics
Organizations
pubcrawl
real-world insider threat data
Resiliency
Scalability
security
security of data
biblio
Preserving Privacy in Convolutional Neural Network: An ∊-tuple Differential Privacy Approach
Submitted by
aekwall
on Mon, 06/22/2020 - 11:20am
Cloud Computing
Scalability
data privacy
learning (artificial intelligence)
Resiliency
Human behavior
pubcrawl
composability
classification
privacy
CNN
convolutional neural nets
convolutional neural network
image recognition
transfer learning
Deep Neural Network
differential privacy
CNN model
medical data
complex data features
deep neural networks
financial data
model buildup data
model inversion attack
privacy concern
privacy preserving model
reusable output model
salient data features
significant accuracy degradation
Training data
ϵ-tuple differential privacy approach
biblio
Facial Expression Recognition Using Merged Convolution Neural Network
Submitted by
grigby1
on Fri, 06/19/2020 - 12:02pm
facial recognition
camera
CNN
convolution
convolution neural network
convolutional neural nets
emotion recognition
face recognition
facial expression recognition
feature extraction
FER
Human behavior
Human Factors
image capture
image preprocessing
image recognition
MCNN
merged convolution neural network
Metrics
Neural networks
pubcrawl
real-time systems
resilience
Resiliency
statistical analysis
statistical method
Training
biblio
Detecting Adversarial Examples for Deep Neural Networks via Layer Directed Discriminative Noise Injection
Submitted by
grigby1
on Fri, 06/19/2020 - 11:49am
adversarial examples
adversarial images
computer architecture
computer vision
computer vision tasks
convolutional neural nets
deep learning
deep neural networks
discriminative noise injection strategy
distortion
dominant layers
false positive rate
false trust
layer directed discriminative noise
learning (artificial intelligence)
machine learning
MobileNet
natural images
natural scenes
Neural networks
noninvasive universal perturbation attack
Perturbation methods
policy-based governance
Policy-Governed Secure Collaboration
pubcrawl
resilience
Resiliency
Scalability
Sensitivity
Training
biblio
Supervised Max Hashing for Similarity Image Retrieval
Submitted by
grigby1
on Fri, 06/12/2020 - 12:08pm
-Convolutional-Neural-Networks
-Learning-to-Hash
-Winner-Take-All-Hash-Family
Approximation algorithms
argmax function
Compositionality
convolutional neural nets
convolutional neural networks
deep neural network architecture
feature extraction
feature vector generation
file organisation
gradient descent methods
gradient methods
hand-crafted feature vectors
hash algorithm
hash algorithms
hash code
Hash Function
Hash functions
hashing
image retrieval
k-ary base
labeled image datasets
learning (artificial intelligence)
mathematically differentiable approximation
nearest neighbor search
pubcrawl
Quantization (signal)
resilience
Resiliency
rich feature vectors
Semantics
similarity image retrieval
storage efficiency
supervised hashing methods
supervised max hashing
Training
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