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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
inference mechanisms
biblio
PlaidML-HE: Acceleration of Deep Learning Kernels to Compute on Encrypted Data
Submitted by
grigby1
on Fri, 08/07/2020 - 3:48pm
Cryptography
learning (artificial intelligence)
machine learning
pubcrawl
Human behavior
Human Factors
resilience
Resiliency
data privacy
privacy
compiler
inference mechanisms
Scalability
encrypted data
AI
cryptographic primitives
deep learning kernels
Homomorphic encryption
machine learning as a service
ML front-end frameworks
ML kernels
ML Service
MLaaS
PlaidML-HE
PPML inference
privacy-preserving machine learning
biblio
Privacy Mining of Large-scale Mobile Usage Data
Submitted by
grigby1
on Thu, 07/30/2020 - 2:32pm
learning (artificial intelligence)
security of data
data analysis
Data mining
pubcrawl
Human behavior
Human Factors
resilience
Resiliency
data privacy
privacy
Object recognition
mobile computing
smart phones
Metrics
Compositionality
password
inference mechanisms
android
mobile devices
ios
iOS (operating system)
mobile network
privacy leakage detection
iOS Security
iOS system
machine learning tools
mobile privacy leakage
mobile traffic data
mobile usage data
privacy analysis
privacy detection model
privacy inference mining
privacy mining
private usage patterns
biblio
Hybrid Approach to Detect Network Based Intrusion
Submitted by
aekwall
on Mon, 07/27/2020 - 12:12pm
security of data
IDS
feature extraction
Resiliency
pubcrawl
composability
particle swarm optimisation
PSO
internet
Anomaly Detection
Intrusion Detection
Fuzzy logic
computer science
Network
inference mechanisms
Artificial Intelligence
genetic algorithms
Stochastic processes
network intrusion detection system
artificial intelligence systems
Fuzzy
host
hybrid particle swarm optimization fuzzy rule based inference engine
internet based communication
intrusion detection techniques
network based intrusion
population stochastic technique
PSO algorithm
intrusion tolerance
biblio
Decision Support for Smart Grid: Using Reasoning to Contextualize Complex Decision Making
Submitted by
grigby1
on Thu, 07/16/2020 - 11:43am
automated decision making
cognition
composability
CPS framework model
CPS modeling
cyber-physical system
cyber-physical systems
Decision Making
decision support
Decision support systems
governance collaborators
grid topologies
industry collaborators
inference mechanisms
Metrics
NIST
Ontologies
ontologies (artificial intelligence)
Ontology
open systems
power engineering computing
pubcrawl
reasoning techniques
resilience
Resiliency
security
simulations
smart grid stakeholders
Smart Grids
smart power grids
Unified modeling language
university collaborators
US National Institute of Standards-and-Technology
biblio
Differential Inference Testing: A Practical Approach to Evaluate Sanitizations of Datasets
Submitted by
grigby1
on Thu, 07/09/2020 - 1:57pm
Compositionality
data deletion
data privacy
Data Sanitization
differential inference testing
differential privacy
Human behavior
Human Factors
inference mechanisms
Inferences
k-anonymity
l-Diversity
machine learning
personal information
Predictive models
privacy
privacy models
pubcrawl
resilience
Resiliency
sanitization
sanitization techniques
sanitized data
Scalability
sensitive attribute
sensitive information
Sociology
testing
biblio
Measuring the Effectiveness of Network Deception
Submitted by
grigby1
on Fri, 05/15/2020 - 11:56am
Bayes methods
Bayesian inference method
belief system
Computer crime
computer network security
cyber deception strategies
cyber defensive system
cyber reconnaissance
Government
inference mechanisms
IP networks
KL-divergence
measurement uncertainty
Network Deception
Network reconnaissance
network traffic
network-based deception
pubcrawl
Reconnaissance
reconnaissance surface
resilience
Resiliency
Scalability
SDN-based deception system
software defined networking
software-defined networking
target network
uncertainty
biblio
Uncertainty-Aware Opinion Inference Under Adversarial Attacks
Submitted by
grigby1
on Fri, 04/17/2020 - 10:58am
Adv-COI
adversarial collective opinion inference
adversarial evidence
black box adversarial attacks
collective subjective logic
composability
Compositionality
computational complexity
CSL
Data mining
data mining tasks
Data models
Decision Making
highly scalable opinion inference
inference mechanisms
learning (artificial intelligence)
logic-rule based structured data
Metrics
minimax techniques
possible adversarial attacks
Probabilistic logic
probabilistic model
probabilistic soft logic
probability
Probability density function
PSL
pubcrawl
resilience
Resiliency
Robustness
security of data
Silicon
Training
uncertain evidence
uncertainty
uncertainty-aware opinion inference
unknown opinions
white box adversarial attacks
White Box Security
biblio
Beyond Pixels: Image Provenance Analysis Leveraging Metadata
Submitted by
aekwall
on Mon, 03/30/2020 - 11:34am
Task Analysis
Resiliency
Human behavior
pubcrawl
composability
graph theory
Image edge detection
Metrics
internet
metadata
video signal processing
multimedia computing
Image forensics
digital image forensics
meta data
visualization
Semantics
inference mechanisms
Provenance
automated provenance analysis
cultural analytics
image provenance analysis
metadata-based inferences
noncontent-based information
online multimedia
Painting
Phylogeny
provenance graph construction
biblio
Evaluating Fault Resiliency of Compressed Deep Neural Networks
Submitted by
grigby1
on Wed, 02/26/2020 - 4:48pm
Analytical models
compressed deep neural networks
compressed DNN models
Computational modeling
data compression
Data models
deep learning
Deep neural network model compression
Efficient and secure inference engines
Fault Attacks
Fault Resilience
Fault resiliency
fault tolerance
fault tolerant computing
Hardware
hardware mitigation techniques
inference mechanisms
learning (artificial intelligence)
LeNet-5
neural nets
Predictive models
pubcrawl
Quantization (signal)
resilience
Resiliency
software mitigation techniques
storage faults
VGG16
biblio
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-Box Inference Attacks against Centralized and Federated Learning
Submitted by
grigby1
on Tue, 02/18/2020 - 11:52am
active membership inference attacks
active white-box inference attacks
black-box attacks
centralized learning
CIFAR dataset
composability
comprehensive privacy analysis
Computational modeling
Data models
data privacy
deep learning
deep learning models
deep neural networks
Deep-learning
federated learning setting
Federated-Learning
gradient methods
Inference algorithms
inference mechanisms
Inference-Attacks
learning (artificial intelligence)
Membership-Inference
Metrics
neural nets
privacy
privacy leakage
pubcrawl
resilience
Resiliency
stochastic gradient descent algorithm
Stochastic processes
Stochastic-Gradient-Descent
Training
Training data
white box cryptography
White Box Security
white-box membership inference attacks
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