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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
Manifolds
biblio
Representing Consent and Policies for Compliance
Submitted by grigby1 on Mon, 04/18/2022 - 9:53am
compliance checking
Data protection
JSON policies.
Manifolds
policy-based governance
privacy
pubcrawl
Regulation
Reliability
security policies
Semantic policy languages
Semantics
Syntactics
biblio
Relevance-Aware Anomalous Users Detection in Social Network via Graph Neural Network
Submitted by grigby1 on Tue, 03/08/2022 - 1:32pm
social network
Manifolds
Heterogeneous graph neural network
explosives
Abnormal social users detection
graph neural networks
Aggregates
social networking (online)
Neural Network Security
Robustness
Metrics
Resiliency
resilience
policy-based governance
pubcrawl
feature extraction
biblio
Use of ADAR Method and Theory of Optimal Control for Engineering Systems Optimal Control
Submitted by grigby1 on Thu, 09/09/2021 - 8:01am
Mathematical model
Transient analysis
synergetic control theory
security
Resiliency
resilience
pubcrawl
optimal control
nonlinear control systems
ADAR method
Manifolds
Control Theory
control synthesis
composability
closed loop systems
Asymptotic stability
ADOR method
biblio
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks
Submitted by aekwall on Mon, 09/21/2020 - 2:36pm
adversarial inputs
Cross Layer Security
verification cross-layer ensemble
unsupervised model
supervised model verification ensemble
representative attacks
noise reduction
MODEF
Manifolds
ensemble diversity
ensemble defense
defense-attack arms race
defense success rates
cross-layer model diversity ensemble framework
black-box adversarial attacks
benign inputs
security of data
adversarial deep learning
composability
DNNs
adversarial examples
machine learning tasks
deep neural networks
Predictive models
testing
Training
Neural networks
neural nets
Robustness
pubcrawl
Resiliency
learning (artificial intelligence)
biblio
Identifying Data Exposure Across Distributed High-Dimensional Health Data Silos through Bayesian Networks Optimised by Multigrid and Manifold
Submitted by grigby1 on Fri, 07/10/2020 - 10:40am
private data exposure
learning (artificial intelligence)
manifold
Manifolds
medical information systems
medical research
multigrid
multigrid solver method
privacy
privacy exposure risk
privacy legislation
information loss
Probabilistic logic
probability
pubcrawl
quasiidentifiers
Scalability
security of data
strong guarantees
thwarts de-anonymisation
treatment data
data anonymity
attribute combination
attribute pairs
attribute separation
Bayes methods
Bayesian networks
Bayesian networks optimised
belief networks
case agnostic method
Data Anonymisation
anonymisation algorithms
data deletion
Data models
data privacy
data transformation
Distributed databases
distributed high-dimensional data repositories
distributed high-dimensional health data silos
high conditional probability
identifying data exposure
