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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
Bayesian optimization
biblio
Multi-fidelity Bayesian Optimization for Co-design of Resilient Cyber-Physical Systems
Submitted by grigby1 on Fri, 06/09/2023 - 1:47pm
pubcrawl
resilience
Resiliency
Data models
Biological system modeling
control systems
cyber-physical systems
Probabilistic logic
CPS
Economics
Bayes methods
Bayesian optimization
co-design
Cyber-Physical Resilience
biblio
Detecting Botnet Attacks in IoT Environments: An Optimized Machine Learning Approach
Submitted by grigby1 on Tue, 03/09/2021 - 2:24pm
Metrics
Surges
Robustness
Resiliency
resilience
pubcrawl
performance evaluation
optimization
Microelectronics
Bayesian optimization
machine learning
IoT
Decision trees
composability
botnets
Botnet detection
botnet
biblio
On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method
Submitted by grigby1 on Fri, 09/04/2020 - 4:10pm
distortion metrics
advanced AI platforms
alternating direction method of multipliers
Bayesian optimization
black-box adversarial attack generation methods
black-box adversarial examples
black-box attacks
BO-ADMM
competitive attack success rates
Convex functions
ADMM solution framework
gradient-free optimization
gradient-free regime
operator splitting method
query complexities
Robust machine learning
zeroth-order optimization
ZO-ADMM
Black Box Security
Complexity theory
optimisation
pubcrawl
composability
Metrics
Resiliency
resilience
learning (artificial intelligence)
optimization
security of data
distortion
Perturbation methods
image classification
Bayes methods
image retrieval
black-box adversarial attacks
Measurement
estimation
biblio
Time Series Forecasting by Evolving Deep Belief Network with Negative Correlation Search
Submitted by grigby1 on Wed, 03/06/2019 - 4:30pm
resilience
neural nets
neural network models
Neural networks
optimisation
optimization
policy-based governance
pubcrawl
random search
Negative correlation search
Resiliency
Scalability
search problems
time series
Time series analysis
time series datasets
time series forecasting
Training
forecasting theory
Bayesian optimization
belief networks
collaboration
composability
DBN
Deep Belief Network
derivative-free optimizer-negative correlation search
forecasting
Bayes methods
grid search
Human behavior
hyperparameters optimization
learning (artificial intelligence)
learning rates
Load modeling
Mathematical model
Metrics
