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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
differential privacy
biblio
The Role of Interactivity in Local Differential Privacy
Submitted by grigby1 on Mon, 10/05/2020 - 1:49pm
fully interactive compositional protocol
testing
pubcrawl
Protocols
privacy guarantee
privacy
local differential privacy
Interaction
hypothesis testing problem
Compositionality
equivalent sequentially interactive protocol
differential privacy
data privacy
Compounds
Complexity theory
Computing Theory and Compositionality
Human Factors
Human behavior
biblio
Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms
Submitted by aekwall on Mon, 09/28/2020 - 11:55am
iterative process
Scalability
Resiliency
recycled ADMM
R-ADMM
pubcrawl
privacy-utility tradeoff
privacy analysis
privacy
Perturbation methods
optimization
local data
linear approximation
alternating direction method of multiplier
Iterative methods
Human behavior
distributed algorithms
differential privacy
decentralized convex optimization problems
data privacy
convex programming
Convex functions
convergence
Computing Theory and Privacy
approximation theory
biblio
Epsilon Voting: Mechanism Design for Parameter Selection in Differential Privacy
Submitted by aekwall on Mon, 09/28/2020 - 11:55am
differential privacy
Computing Theory and Privacy
user preferences
parameter epsilon
mechanism design
epsilon voting
differentially private system
parameter selection
Aggregates
Statistics
Scalability
game theory
Companies
standards
Computational modeling
privacy
pubcrawl
Human behavior
Resiliency
data privacy
biblio
Differential Privacy-Based Indoor Localization Privacy Protection in Edge Computing
Submitted by aekwall on Mon, 09/21/2020 - 3:49pm
pubcrawl
indoor localization service
indoor radio
learning (artificial intelligence)
lightweight differential privacy-preserving mechanism
localization model
massive sensing data
original localization technology
privacy
privacy preserving
indoor localization
Resiliency
Scalability
serious privacy leakage
smart devices
Training
Wi-Fi-based indoor localization
wireless LAN
ε-differential privacy theory
differential privacy guarantee
trust
Cloud Computing
computer network security
Computing Theory and Privacy
Control Theory and Privacy
cyber physical systems
cyber-physical systems
data privacy
differential privacy
Computing Theory
differential privacy-based indoor localization privacy protection
distributed processing
edge computing
edge computing environment
Edge computing.
edge networks
Fingerprint recognition
Human behavior
biblio
Privacy-Preserving Deep Learning Models for Law Big Data Feature Learning
Submitted by aekwall on Mon, 08/24/2020 - 1:50pm
law Big data feature learning
social networks
social networking (online)
Servers
Scalability
Resiliency
pubcrawl
privacy-preserving feature learning
privacy-preserving deep learning models
privacy
neural nets
Metrics
learning (artificial intelligence)
Big Data
Knowledge extraction
IoT
Internet of Things
Human Factors
Homomorphic encryption
differential privacy
deep learning
data privacy
Data models
Cryptography
big data privacy
biblio
Analytical Evaluation of k–Anonymity Algorithm and Epsilon-Differential Privacy Mechanism in Cloud Computing Environment
Submitted by grigby1 on Thu, 08/13/2020 - 5:35pm
privacy problem
epsilon-differential privacy mechanism
evaluation
expected risks
Human behavior
k-anonymity algorithm
Metrics
privacy
privacy environment
dilemmas
privacy protection algorithms
pubcrawl
resilience
Resiliency
Runtime
security of data
unexpected risks
Data models
algorithm orientations
analytical evaluation
anonymity
anonymity algorithm
Cloud Computing
cloud computing environment
composability
data analysis
algorithm orientation
data privacy
Data Security
data segregation
Databases
differential privacy
differential privacy algorithm
differential privacy mechanism
biblio
Applying Differential Privacy Mechanism in Artificial Intelligence
Submitted by grigby1 on Fri, 08/07/2020 - 3:48pm
privacy
multi-agent system
distributed machine learning
differential privacy mechanism
differential privacy
AI
multiagent systems
Scalability
multi-agent systems
Reinforcement learning
federated learning
learning (artificial intelligence)
data privacy
Resiliency
resilience
Human Factors
Human behavior
pubcrawl
Artificial Intelligence
security
machine learning
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
privacy
k-anonymity
machine learning
Mondrian anonymization techniques
Mondrian based k-anonymity approach
neural nets
Neural networks
personal data
personally identifiable information
predominant factor
high-dimensional data deep neural network based framework
privacy breach
privacy preservation
privacy preserving big data publication
privacy-preservation
protection
Resiliency
security
user privacy in the cloud
data analysis
pubcrawl
Human Factors
resilience
Scalability
Metrics
Big Data
Big Data Analytics
Cloud Computing
compromising privacy
big data privacy
data management
Data models
data privacy
data utility
Databases
deep neural networks
differential privacy
DNN
biblio
Aggregating Crowd Wisdom via Blockchain: A Private, Correct, and Robust Realization
Submitted by grigby1 on Thu, 07/09/2020 - 1:58pm
Security Properties
Human behavior
Human Factors
mobile client
mobile computing
privacy
pubcrawl
public blockchain
resilience
Resiliency
Scalability
hardware-assisted transparent enclave
sensor-rich mobile devices
SGX-enabled server
smart contract
smart contracts
Task Analysis
third-party platform
transparent blockchain
trusted hardware
zero-knowledge proof
data confidentiality
blockchain
Compositionality
crowd wisdom
crowd wisdom aggregation
Crowdsensing
crowdsensing systems
Cryptography
data aggregation
Data collection
Aggregates
data deletion
data privacy
Data Sanitization
data sensing
decentralized blockchain technology
differential privacy
Distributed databases
ethereum
faulty data providers
biblio
Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text
Submitted by grigby1 on Thu, 07/09/2020 - 1:58pm
privacy analysis
word representations
vast data stores
utility experiments highlight
user privacy
training machine learning models
text analysis
supporting data driven decisions
semantic generalization
Scalability
Resiliency
resilience
pubcrawl
proof satisfying dx-privacy
probability
privacy experiments
arbitrary piece
privacy
nonHamming distance metrics
learning (artificial intelligence)
Human Factors
Human behavior
high dimensional hyperbolic space
hierarchical representations
expected privacy
downstream machine learning models
document redaction
differential privacy
Data Sanitization
data privacy
data deletion
Compositionality
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