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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
differential privacy
biblio
Applying Differential Privacy Mechanism in Artificial Intelligence
Submitted by
grigby1
on Fri, 08/07/2020 - 3:48pm
learning (artificial intelligence)
machine learning
security
Artificial Intelligence
pubcrawl
Human behavior
Human Factors
resilience
Resiliency
data privacy
privacy
federated learning
Reinforcement learning
multi-agent systems
Scalability
multiagent systems
AI
differential privacy
differential privacy mechanism
distributed machine learning
multi-agent system
biblio
Privacy Preserving Big Data Publication On Cloud Using Mondrian Anonymization Techniques and Deep Neural Networks
Submitted by
aekwall
on Mon, 07/13/2020 - 11:07am
security
Cloud Computing
Big Data
data privacy
Data models
machine learning
Resiliency
pubcrawl
privacy preservation
privacy
Metrics
neural nets
Neural networks
Databases
data analysis
Scalability
differential privacy
data utility
deep neural networks
DNN
data management
personal data
privacy-preservation
k-anonymity
protection
Big Data Analytics
compromising privacy
high-dimensional data deep neural network based framework
Mondrian anonymization techniques
Mondrian based k-anonymity approach
personally identifiable information
predominant factor
privacy breach
privacy preserving big data publication
user privacy in the cloud
biblio
Aggregating Crowd Wisdom via Blockchain: A Private, Correct, and Robust Realization
Submitted by
grigby1
on Thu, 07/09/2020 - 1:58pm
Aggregates
blockchain
Compositionality
crowd wisdom
crowd wisdom aggregation
Crowdsensing
crowdsensing systems
Cryptography
data aggregation
Data collection
data confidentiality
data deletion
data privacy
Data Sanitization
data sensing
decentralized blockchain technology
differential privacy
Distributed databases
ethereum
faulty data providers
hardware-assisted transparent enclave
Human behavior
Human Factors
mobile client
mobile computing
privacy
pubcrawl
public blockchain
resilience
Resiliency
Scalability
Security Properties
sensor-rich mobile devices
SGX-enabled server
smart contract
smart contracts
Task Analysis
third-party platform
transparent blockchain
trusted hardware
zero-knowledge proof
biblio
Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text
Submitted by
grigby1
on Thu, 07/09/2020 - 1:58pm
arbitrary piece
Compositionality
data deletion
data privacy
Data Sanitization
differential privacy
document redaction
downstream machine learning models
expected privacy
hierarchical representations
high dimensional hyperbolic space
Human behavior
Human Factors
learning (artificial intelligence)
nonHamming distance metrics
privacy
privacy analysis
privacy experiments
probability
proof satisfying dx-privacy
pubcrawl
resilience
Resiliency
Scalability
semantic generalization
supporting data driven decisions
text analysis
training machine learning models
user privacy
utility experiments highlight
vast data stores
word representations
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
PRETSA: Event Log Sanitization for Privacy-aware Process Discovery
Submitted by
grigby1
on Thu, 07/09/2020 - 1:57pm
Analytical models
Business
business data processing
Compositionality
data deletion
Data mining
data privacy
Data Sanitization
differential privacy
event data
event log sanitization
Human behavior
Human Factors
Information systems
performance-annotated process model
Personnel
PRETSA
privacy
privacy guarantees
privacy-aware process discovery
Privacy-aware Process Mining
privacy-disclosure attacks
process discovery
process execution
process model discovery
pseudonymized employee information
pubcrawl
resilience
Resiliency
Scalability
security of data
sensitive information
biblio
Preserving Privacy in Convolutional Neural Network: An ∊-tuple Differential Privacy Approach
Submitted by
aekwall
on Mon, 06/22/2020 - 11:20am
Cloud Computing
Scalability
data privacy
learning (artificial intelligence)
Resiliency
Human behavior
pubcrawl
composability
classification
privacy
CNN
convolutional neural nets
convolutional neural network
image recognition
transfer learning
Deep Neural Network
differential privacy
CNN model
medical data
complex data features
deep neural networks
financial data
model buildup data
model inversion attack
privacy concern
privacy preserving model
reusable output model
salient data features
significant accuracy degradation
Training data
ϵ-tuple differential privacy approach
biblio
Location Privacy Preservation and Location-based Service Quality Tradeoff Framework Based on Differential Privacy
Submitted by
aekwall
on Mon, 06/22/2020 - 11:20am
Scalability
data privacy
privacy concerns
Resiliency
Human behavior
pubcrawl
composability
differential privacy
location based services
application service providers
differential privacy framework
localization
location privacy preservation
location privacy preserving mechanism
Location-based service
location-based service quality tradeoff framework
biblio
Federated Learning with Bayesian Differential Privacy
Submitted by
aekwall
on Mon, 06/22/2020 - 11:19am
Bayes methods
Bayesian differential privacy
Bayesian privacy accounting method
composability
Computational modeling
data privacy
deep learning
differential privacy
federated learning
federated setting
formal privacy guarantees
Human behavior
image classification
image classification tasks
learning (artificial intelligence)
machine learning
privacy
privacy accounting
privacy budget
pubcrawl
Resiliency
Scalability
Servers
sharper privacy loss
biblio
A Topology Based Differential Privacy Scheme for Average Path Length Query
Submitted by
aekwall
on Mon, 06/22/2020 - 11:19am
Scalability
data privacy
Resiliency
Human behavior
pubcrawl
composability
privacy
data availability
query processing
differential privacy
privacy protection
Sensitivity
Perturbation methods
Erbium
Euclidean distance
network topology
APL query
average path length query
data query
differential privacy security mechanism
edge-weighted privacy protection
network vertices
node privacy protection
privacy control parameters
query function
topology based differential privacy scheme
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