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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
Adversary Models
biblio
A Novel Modeling-Attack Resilient Arbiter-PUF Design
Submitted by aekwall on Mon, 12/20/2021 - 12:31pm
Predictive models
Training
machine learning
machine learning algorithms
pubcrawl
Scalability
Metrics
Resiliency
Human behavior
Prediction algorithms
Very large scale integration
arbiter PUF
Physical Unclonable Function
PUF modeling
Adversary Models
biblio
Frequency-based Automated Modulation Classification in the Presence of Adversaries
Submitted by aekwall on Mon, 12/20/2021 - 12:31pm
Human behavior
Adversary Models
RF signals
automatic modulation classification
adversarial attacks
Interference
Frequency modulation
Recurrent neural networks
privacy
security
Resiliency
Metrics
Scalability
pubcrawl
Wireless communication
machine learning
Perturbation methods
deep learning
biblio
Model Fragmentation, Shuffle and Aggregation to Mitigate Model Inversion in Federated Learning
Submitted by aekwall on Mon, 12/20/2021 - 12:31pm
Adversary Models
Aggregates
Collaborative Work
differential privacy
federated learning
Human behavior
Learning systems
Metrics
Metropolitan area networks
Model inversion
privacy
pubcrawl
Resiliency
Resistance
Scalability
Training data
biblio
Feature Inference Attack on Model Predictions in Vertical Federated Learning
Submitted by aekwall on Mon, 12/20/2021 - 12:30pm
Human behavior
Adversary Models
vertical federated learning
privacy preservation
model prediction
feature inference attack
Collaborative Work
Radio frequency
Prediction algorithms
Organizations
Resiliency
Metrics
Scalability
pubcrawl
data privacy
Predictive models
Data models
biblio
Optimally-secure Coin-tossing against a Byzantine Adversary
Submitted by aekwall on Mon, 12/20/2021 - 12:30pm
Computational modeling
Protocols
probability
pubcrawl
Scalability
Metrics
Resiliency
Human behavior
Program processors
Object recognition
information theory
Adversary Models
biblio
Accountability in the Decentralised-Adversary Setting
Submitted by aekwall on Mon, 12/20/2021 - 12:30pm
Cryptography
Task Analysis
Protocols
tools
Analytical models
Access Control
pubcrawl
Scalability
Metrics
Resiliency
Human behavior
accountability
consumer behavior
verification
Adversary Models
biblio
Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning
Submitted by aekwall on Mon, 12/20/2021 - 12:30pm
differential privacy
Adversary Models
Upper bound
Toxicology
Membership-Inference
machine-learning
DP-SGD
Differentially-private-(DP)-machine-learning
Differentially-private
Deep-learning
privacy
Human behavior
Resiliency
Metrics
Scalability
pubcrawl
Games
Training
deep learning
biblio
Stochastic-Adversarial Channels: Online Adversaries With Feedback Snooping
Submitted by aekwall on Mon, 12/20/2021 - 12:29pm
Reliability
pubcrawl
Scalability
Metrics
Resiliency
Human behavior
encoding
Stochastic processes
Channel models
Transmitters
Adversary Models
biblio
A Distributed Location Trusted Service Achieving k-Anonymity against the Global Adversary
Submitted by aekwall on Mon, 12/20/2021 - 12:29pm
Computational modeling
privacy
computer architecture
social networking (online)
Conferences
pubcrawl
Scalability
Metrics
Resiliency
Human behavior
Resistance
Companies
Urban areas
Location k-anonymity
location-based services
Adversary Models
biblio
Adversarial Deep Learning Models With Multiple Adversaries
Submitted by aekwall on Mon, 12/20/2021 - 12:29pm
Computational modeling
deep learning
Games
pubcrawl
Scalability
Metrics
Resiliency
Human behavior
Semantics
game theory
supervised learning
Stochastic processes
Skeleton
adversarial learning
Adversarial Machine Learning
Adversary Models
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