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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
Predictive models
biblio
Black Box Attacks on Explainable Artificial Intelligence(XAI) methods in Cyber Security
Submitted by aekwall on Mon, 03/01/2021 - 4:59pm
security
gradient-based XAI
learning (artificial intelligence)
Metrics
ML models
Predictive models
privacy
pubcrawl
Resiliency
Robustness
Scalability
explainable artificial intelligence methods
security domain
security of data
security-relevant data-sets
threat models
white box
White Box Security
white box setting
xai
XAI methods
composability
adversarial attack
Analytical models
Artificial Intelligence
artificial intelligence security
binary output
black box attack
Black Box Attacks
black box encryption
black box settings
black-box models
predictive security metrics
computer security
cyber security
cybersecurity domain
data analysis
Data models
deep learning
domain experts
exact properties
explainable artificial intelligence
biblio
Mobile Games Success and Failure: Mining the Hidden Factors
Submitted by aekwall on Mon, 03/01/2021 - 4:49pm
Scalability
Support vector machines
Resiliency
pubcrawl
Industries
Data mining
Games
Predictive models
Uniform resource locators
game design
game features
land mobile radio
mobile games
work factor metrics
biblio
Can We Predict the Quality of Spectrum-based Fault Localization?
Submitted by aekwall on Mon, 03/01/2021 - 4:47pm
fault diagnosis
work factor metrics
static test suite
static test metrics
spectrum-based fault localization
prediction model
potential effectiveness
fault-related metrics
fault localization techniques
fault localization effectiveness
effective fault localization
dynamic test suite
dynamic test metrics
debugging
automated fault localization
Scalability
Couplings
software fault tolerance
software metrics
program debugging
Predictive models
Complexity theory
Measurement
machine learning
program testing
tools
Metrics
pubcrawl
Resiliency
Electronic mail
biblio
RNN-based Prediction for Network Intrusion Detection
Submitted by grigby1 on Tue, 02/23/2021 - 2:47pm
prediction model
sliding window
scoring function
RNN-based prediction
LSTM model
industrial IoT environments
data mining regression techniques
cosine similarity
anomaly detection methods
RNN
N-gram
LSTM
IDS
Euclidean distance
network intrusion detection
Internet of Things
regression analysis
composability
production engineering computing
recurrent neural nets
Data models
Resiliency
resilience
Metrics
pubcrawl
Intrusion Detection
Data mining
Anomaly Detection
Predictive models
security of data
biblio
GST-GCN: A Geographic-Semantic-Temporal Graph Convolutional Network for Context-aware Traffic Flow Prediction on Graph Sequences
Submitted by aekwall on Mon, 02/08/2021 - 1:41pm
Metrics
Traffic flow prediction
Three-dimensional displays
Spatio-temporal convolution
Semantics
Scalability
Resiliency
pubcrawl
Predictive models
Compositionality
Meteorology
Measurement
Human Factors
graph convolutional network
deep learning
Cyber Dependencies
convolution
biblio
Modeling of Trust Within a Human-Robot Collaboration Framework
Submitted by grigby1 on Wed, 02/03/2021 - 1:45pm
Physical performance
trust
Task Analysis
simulation
robots
Robot Trust
Resiliency
resilience
pubcrawl
Predictive models
Cognitive performance
Mathematical model
Human-Robot Collaboration (HRC)
human-machine teaming
Human Factors
Human behavior
dynamic model
Complexity theory
collaboration
biblio
IMPACT: A Trust Model for Human-Agent Teaming
Submitted by aekwall on Mon, 02/01/2021 - 11:39am
IMPACT model
Weapons
unmanned vehicle
trust
Task Analysis
target engagement
remotely operated vehicles
pubcrawl
Predictive models
multi-agent systems
large scale joint exercise controlling multiple unmanned vehicles
intelligent adaptive decision aid
Adaptation models
human-autonomy interaction
human-agent teaming
human trust
human partners
Human behavior
Decision Making
collaborative team
collaboration
autonomous agents
authorization
biblio
Defending Against Model Stealing Attacks With Adaptive Misinformation
Submitted by grigby1 on Thu, 01/28/2021 - 1:12pm
Metrics
training dataset
security of data
security
Scalability
Resiliency
resilience
query processing
pubcrawl
Predictive models
Perturbation methods
out-of-distribution inputs
OOD queries
neural nets
model stealing attacks
Adaptation models
learning (artificial intelligence)
labeled dataset
Human behavior
deep neural networks
Data models
Computational modeling
Cloning
clone model
black-box query access
attacker clone model
attacker
Adversary Models
Adaptive Misinformation
biblio
Link Prediction Adversarial Attack Via Iterative Gradient Attack
Submitted by aekwall on Mon, 01/25/2021 - 1:01pm
gradient information
attack graphs
adversarial attack
adversarial graph
deep models
defense
GAE
gradient attack (GA)
gradient attack strategy
gradient methods
graph autoencode
graph evolved tasks
iterative gradient attack
Link prediction
link prediction adversarial attack problem
node classification
real-world graphs
trained graph autoencoder model
Robustness
data privacy
Task Analysis
learning (artificial intelligence)
Resiliency
pubcrawl
composability
graph theory
privacy
security of data
neural nets
Prediction algorithms
security problem
Predictive models
Predictive Metrics
deep neural networks
Perturbation methods
biblio
DeCrypto Pro: Deep Learning Based Cryptomining Malware Detection Using Performance Counters
Submitted by grigby1 on Fri, 01/22/2021 - 2:38pm
DeCrypto Pro
LSTM
defense mechanisms
advanced persistent threats
antivirus applications
APTs
behavior profiling
benign compression
classification model
collaborative attacks
computational resources
cryptographic operations
cryptojacking
cryptomining
Long short-term memory
DeCrypto Profiler framework
deep cryptomining profiler
mission-critical cybersystems
model selection
operating context profiling system
performance counters
Ransomware
system features
system functionalities
Trojan Laziok
utility function
Windows performance counters
cyberattacks
Predictive models
machine learning
Data mining
pubcrawl
Human behavior
Metrics
resilience
Resiliency
Scalability
Data models
Computational modeling
random forests
recurrent neural nets
Cryptography
deep learning
pattern classification
malware
invasive software
malware detection
nearest neighbour methods
k-nearest neighbors
Random Forest
advanced persistent threat
APT
deep neural networks
encoding
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