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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
Training data
biblio
Chronic Poisoning against Machine Learning Based IDSs Using Edge Pattern Detection
Submitted by
grigby1
on Wed, 05/01/2019 - 10:33am
Batch-EPD Boundary Pattern detection algorithm
big data era
chronic poisoning attack
composability
Data models
detection algorithms
edge detection
Edge Pattern Detection algorithm
edge pattern points
Image edge detection
Intrusion Detection
Intrusion Detection Systems
learning (artificial intelligence)
machine learning
machine learning algorithms
Metrics
pubcrawl
resilience
Resiliency
Scalability
security
security of data
security threats
Training data
biblio
Automated Generation and Selection of Interpretable Features for Enterprise Security
Submitted by
grigby1
on Fri, 03/22/2019 - 12:00pm
big data security
Boolean functions
classifiers
Clustering algorithms
cyber security
DNF formulas
enterprise security logs
feature extraction
fourier analysis
Fourier transforms
learning (artificial intelligence)
machine learning method
malicious activity detection
malware
Metrics
pattern clustering
pubcrawl
resilience
Resiliency
Scalability
security
security of data
Training data
biblio
Towards Making Systems Forget with Machine Unlearning
Submitted by
Katie Dey
on Mon, 08/06/2018 - 12:24pm
Adversarial Machine Learning
complex data propagation network
Computational modeling
data lineage
Data models
data privacy
Extraction
feature extraction
feature modeling
Feature Selection
Forgetting System
forgetting systems
learning (artificial intelligence)
Learning systems
machine learning algorithms
machine unlearning
privacy risks
recommendation engine
recommender systems
security of data
security perspective
statistical query learning
summation form
Training data
usability perspective
Cognitive Security
Articles of Interest
Extraction
C3E 2019
biblio
Quantifying the impact of adversarial evasion attacks on machine learning based android malware classifiers
Submitted by
Katie Dey
on Mon, 08/06/2018 - 12:24pm
adversarial evasion attacks
android malware classifiers
Android Malware Detection
Android-based devices
Androids
feature extraction
Humanoid robots
invasive software
learning (artificial intelligence)
linear classifiers
logistic regression
machine learning
malicious apps
malware
neural nets
neural network
nonlinear classifiers
Random Forest
regression analysis
smart phones
statistical analysis
Support vector machines
Training
Training data
user devices
Extraction
biblio
Collaborative SQL-injections Detection System with Machine Learning
Submitted by
grigby1
on Thu, 06/07/2018 - 2:12pm
security
privacy
pubcrawl
Human behavior
attack
Resiliency
Policy
collaboration
SQL injection
Policy-Governed Secure Collaboration
policy-based governance
internet
machine learning classification
SQLIA
Training data
biblio
FailureSense: Detecting Sensor Failure Using Electrical Appliances in the Home
Submitted by
el_wehby
on Fri, 05/25/2018 - 2:50pm
Data collection
distributed sensors
Electrical products
fail-stop failure
failuresense
fault diagnosis
Home appliances
home electrical appliances
home networks
inexpensive sensors
Monitoring
Redundancy
sensor deployment
sensor failure detection
sensor firing
sensor placement
sensor reliability
Smart homes
telecommunication network reliability
Training
Training data
1536086
biblio
Sample-Based Regularization for Support Vector Machine Classification
Submitted by
grigby1
on Tue, 05/01/2018 - 10:38am
composability
Dropout
Fasteners
human action recognition tasks
image classification
Kernel
kernel methods
linear combination
maximum margin-based classification
Metrics
optimization
pubcrawl
Regularization
regularization scheme
resilience
Resiliency
sample-based regularization
selected training data
support vector machine
support vector machine classification
Support vector machines
SVM
Training
Training data
training sample level
training sample selection
biblio
Identification of Abnormal Network Traffic Using Support Vector Machine
Submitted by
grigby1
on Tue, 05/01/2018 - 10:38am
composability
feature extraction
Kernel
machine learning
machine learning algorithms
Metrics
pubcrawl
resilience
Resiliency
Support vector machines
SVM
Traffic identification
Training
Training data
biblio
Hunting for Naval Mines with Deep Neural Networks
Submitted by
grigby1
on Wed, 04/11/2018 - 1:49pm
autonomous underwater vehicles
autonomous unmanned underwater vehicle
Brain modeling
calculation requirements
computation requirements
Computational modeling
data distribution training
Data models
deep neural network methods
deep neural networks
detection efficacy
DNN depth
DNN models
explosive naval mines
explosives
feature extraction
image recognition
image recognition tasks
learning (artificial intelligence)
memory requirements
Metrics
minelike objects
modest DNN model
naval engineering computing
neural nets
privacy
pubcrawl
remotely operated vehicles
robot vision
sea faring vessels
side-scan sonar imagery
Sonar
sonar imaging
support vector machine
Support vector machines
threat vectors
Throughput
trainable parameter count
Training
Training data
Underwater vehicles
visualization technique
Weapons
biblio
Hierarchical Graph Neuron Scheme in Classifying Intrusion Attack
Submitted by
grigby1
on Mon, 04/02/2018 - 11:52am
arrays
attack graphs
classification
composability
Hierarchical Graph Neuron
Indexes
information security
Intrusion Detection
Metrics
Neurons
Pattern recognition
pubcrawl
resilience
Resiliency
testing
Training
Training data
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