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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
Predictive models
biblio
Spectrum Occupancy Prediction Exploiting Time and Frequency Correlations Through 2D-LSTM
Submitted by aekwall on Mon, 11/08/2021 - 3:29pm
Logic gates
deep learning
Predictive models
Training
pubcrawl
Scalability
Resiliency
Hidden Markov models
Predictive Metrics
Time-frequency Analysis
Correlation
frequency correlation
real-world spectrum measurement
spectrum occupancy prediction
Time Frequency Analysis and Security
biblio
LSTM-based Frequency Hopping Sequence Prediction
Submitted by aekwall on Mon, 11/08/2021 - 3:28pm
Resiliency
Training
Time-frequency Analysis
Time series analysis
time series
Time Frequency Analysis and Security
spread spectrum communication
Sequence Prediction
Scalability
deep learning
pubcrawl
Predictive models
Predictive Metrics
LSTM
Logic gates
frequency-hopping (FH)
frequency control
biblio
DANTE: Predicting Insider Threat using LSTM on system logs
Submitted by aekwall on Mon, 11/08/2021 - 3:22pm
Cancer
CERT dataset
data privacy
information and communication technology
insider threat
logs
LSTM
Measurement
Natural languages
Predictive models
privacy
pubcrawl
Recurrent neural networks
RNN
security
threat vectors
biblio
Detecting Trojan Attacks on Deep Neural Networks
Submitted by grigby1 on Mon, 11/08/2021 - 1:37pm
pubcrawl
Trojan horses
trojan horse detection
trojan
Training
supply chain security
Strips
Resiliency
resilience
composability
Predictive models
Prediction algorithms
neural network
deep learning
Data models
cyber physical systems
cyber physical security
Computational modeling
biblio
Optimising Network Architectures for Provable Adversarial Robustness
Submitted by aekwall on Tue, 10/12/2021 - 3:13pm
Neural networks
Robustness
Computational modeling
Perturbation methods
Predictive models
Training
pubcrawl
Resiliency
Compositionality
artificial neural network
Predictive Metrics
provable security
computer vision
network architecture
biblio
Ensemble Learning Based Network Anomaly Detection Using Clustered Generalization of the Features
Submitted by grigby1 on Tue, 10/12/2021 - 2:48pm
AdaBoost
Classification algorithms
Clustering algorithms
Ensemble Learning
Fitting
Generalization
hybridization
Metrics
Overfit
Prediction algorithms
Predictive models
predictive security metrics
pubcrawl
Stacking
Terminology
biblio
Evaluating and Improving Adversarial Attacks on DNN-Based Modulation Recognition
Submitted by grigby1 on Tue, 10/12/2021 - 2:48pm
adversarial attacks
convergence
deep learning
Iterative methods
Measurement
Metrics
modulation
modulation recognition
Perturbation methods
Predictive models
predictive security metrics
pubcrawl
Task Analysis
wireless security
biblio
Quantifying DNN Model Robustness to the Real-World Threats
Submitted by grigby1 on Tue, 10/12/2021 - 2:48pm
adversarial example
Cameras
Computational modeling
Detectors
Metrics
Neural networks
Perturbation methods
Predictive models
predictive security metrics
pubcrawl
Robustness
Safety
threat severity
biblio
Weaponizing Unicodes with Deep Learning -Identifying Homoglyphs with Weakly Labeled Data
Submitted by grigby1 on Tue, 10/12/2021 - 2:47pm
Cybersecurity
homoglyphs
Measurement
Metrics
Plagiarism
Predictive models
predictive security metrics
pubcrawl
security
software development management
unicode
visualization
Weapons
biblio
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack
Submitted by grigby1 on Tue, 10/12/2021 - 2:47pm
estimation
Iterative methods
Measurement
Metrics
Neural networks
optimization
Perturbation methods
Predictive models
predictive security metrics
pubcrawl
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