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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
MNIST dataset
biblio
DP-CGAN: Differentially Private Synthetic Data and Label Generation
Submitted by grigby1 on Fri, 08/07/2020 - 3:48pm
generative adversarial networks
training dataset
spent privacy budget
single-digit epsilon parameter
research communities
Renyi differential privacy accountant
original sensitive datasets
label generation
GAN models
DP-CGAN
differentially private synthetic data
differentially private conditional GAN training framework
AI
MNIST dataset
learning (artificial intelligence)
Scalability
Gallium nitride
privacy
Data models
data privacy
Generators
Resiliency
resilience
Human Factors
Human behavior
pubcrawl
Training
biblio
Query-Efficient Black-Box Attack by Active Learning
Submitted by aekwall on Mon, 07/20/2020 - 10:55am
Jacobian matrices
white box cryptography
white-box attack methods
white-box attack approaches
query-efficient black-box attack
query efficiency
generated adversarial examples
CIFAR-10 dataset
adversarial attack
active learning strategy
active learning
MNIST dataset
Learning systems
Perturbation methods
Cryptography
Deep Neural Network
Entropy
machine learning model
convolutional neural nets
Training
Labeling
query processing
Neural networks
Metrics
composability
pubcrawl
Resiliency
learning (artificial intelligence)
biblio
Conditional Generative Adversarial Network on Semi-supervised Learning Task
Submitted by grigby1 on Fri, 06/12/2020 - 12:21pm
Mathematical model
Tensile stress
supervised learning
semisupervised learning method
Semisupervised learning
semi-supervised
Scalability
Resiliency
resilience
pubcrawl
neural nets
MNIST dataset
Metrics
abundant unlabeled data
image classification
Generators
generative adversarial networks
generative adversarial network
Generative Adversarial Learning
Gallium nitride
deep neural networks
Data models
conditional generative adversarial network
conditional GAN model
conditional
biblio
Maximal Information Leakage based Privacy Preserving Data Disclosure Mechanisms
Submitted by aekwall on Mon, 04/20/2020 - 10:31am
confidential label
privacy models and measurement
Sibson mutual information
privacy-utility trade-off
privacy preserving data disclosure mechanisms
privacy metric
output data vector
MNIST dataset
maximal information leakage
Information Theoretic Privacy
information theoretic measures
FERG dataset
data vectors
data driven setting
data privacy
Bernoulli-Gaussian model
auto-encoders
privacy preservation
distortion
generative adversarial networks
gaussian distribution
Measurement
Mutual information
optimization
Metrics
privacy
pubcrawl
Data models
biblio
Unreliable memory operation on a convolutional neural network processor
Submitted by grigby1 on Thu, 06/07/2018 - 3:06pm
Reliability
Kernel
Memory management
MNIST dataset
neural nets
Neural Network Resilience
power aware computing
pubcrawl
Random access memory
inference capabilities
resilience
Resiliency
severe fault-injection rates
size 28.0 nm
software fault tolerance
storage management chips
Training
unreliable memory operation
embedded dynamic RAM system
bit-cells
classification challenges
CNN resilience
convolutional neural network processor
data elements
Degradation
detection challenges
DRAM chips
bit protection
embedded systems
error probability degradation
fault diagnosis
fault mitigation strategies
fault tolerance
fault tolerant computing
feature maps memory space
hardware memories
