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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
PRADA: Protecting Against DNN Model Stealing Attacks
Submitted by
aekwall
on Mon, 08/03/2020 - 10:38am
security of data
Scalability
learning (artificial intelligence)
Resiliency
Human behavior
pubcrawl
Computational modeling
Metrics
neural nets
Neural networks
query processing
Business
Training
Mathematical model
Data mining
Predictive models
Deep Neural Network
application program interfaces
model extraction
Adversarial Machine Learning
API queries
confidentiality protection
DNN model extraction attacks
DNN model stealing attacks
machine learning applications
ML models
model extraction attacks
model stealing
nontargeted adversarial examples
PRADA
prediction accuracy
prediction API
prior model extraction attacks
stolen model
transferable adversarial examples
well-defined prediction APIs
Adversary Models
biblio
Attacks on Digital Watermarks for Deep Neural Networks
Submitted by
grigby1
on Thu, 07/30/2020 - 1:54pm
learning (artificial intelligence)
Training
Neural networks
pubcrawl
policy-based governance
resilience
Resiliency
Mathematical model
industrial property
Computational modeling
standards
composability
neural nets
detection algorithms
deep learning models
Watermarking
copy protection
ip protection
At-tack
Deep Neural Network
deep neural networks training
Digital Watermarks
fast response times.
intellectual property theft
Mobile app
model prediction
statistical distribution
watermark
biblio
Protecting the Intellectual Properties of Digital Watermark Using Deep Neural Network
Submitted by
grigby1
on Thu, 07/30/2020 - 1:53pm
learning (artificial intelligence)
machine learning
Artificial Intelligence
pubcrawl
policy-based governance
resilience
Resiliency
industrial property
intellectual property
composability
neural nets
Speech recognition
natural language processing
Image Processing
deep learning models
Deep Neural Network
counter-watermark attacks
Digital Watermark
DNN algorithms
embedded
embedding watermarks
ownership verification
watermark
Watermarking
ip protection
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
Deep Visual Privacy Preserving for Internet of Robotic Things
Submitted by
grigby1
on Fri, 07/03/2020 - 1:15pm
automobiles
data privacy
Data sharing and distribution
Deep Neural Network
deep video
image segmentation
information security
Internet of Robotic things
Internet of Things
IoRT
legal access level
legal applications
Metrics
neural nets
privacy
privacy preserving
pubcrawl
resilience
Resiliency
robot vision
robots
Scalability
security of data
service robotic platforms
Service robots
smart city applications
smart city surveillance
Smart Vehicles
surveillance cameras
video data base
video surveillance
visual data
visual information collection
visual privacy preserving
visualization
Web of Robotic Things
WoRT
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
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
LuNet: A Deep Neural Network for Network Intrusion Detection
Submitted by
grigby1
on Fri, 05/08/2020 - 2:43pm
learning (artificial intelligence)
Training
feature extraction
machine learning
convolutional neural nets
Intrusion Detection
pubcrawl
policy-based governance
collaboration
computer network security
intrusion detection system
network attack
recurrent neural nets
telecommunication traffic
network users
Kernel
Metrics
convolutional neural network
Recurrent neural networks
advanced network attacks
AI-based solutions
Deep Neural Network
detection capability
hierarchical CNN+RNN neural network
input traffic data learning
intelligent capability
large scale network
LuNet
network intrusion detection
network intrusion detection techniques
network traffic data
network traffic datasets
recurrent neural network
security issue
signature-based approach
spatial features
temporal features
Neural Network Security
biblio
An Efficient Deep Quantized Compressed Sensing Coding Framework of Natural Images
Submitted by
grigby1
on Tue, 12/10/2019 - 11:19am
composability
compressed sensing coding
compressive sampling
Cyber Physical System
cyber physical systems
Deep Neural Network
image compression
privacy
pubcrawl
resilience
Resiliency
biblio
Implementation of Adversarial Scenario to Malware Analytic
Submitted by
aekwall
on Mon, 06/24/2019 - 2:43pm
adversarial setting
Deep Neural Network
Human behavior
Malware Analysis
Metrics
pubcrawl
Resiliency
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