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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
DNNs
biblio
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks
Submitted by grigby1 on Wed, 11/04/2020 - 1:15pm
pubcrawl
learning (artificial intelligence)
machine learning
ML Security
multilevel security system
object detection
Object recognition
optimization
Optimization algorithms
perceptible noise
pre-trained DNNs
Inference algorithms
resilience
Resiliency
Scalability
security
security of data
structural similarity analysis
traffic sign detection
Training
training data-unaware imperceptible security attacks
training dataset
feature extraction
AI Poisoning
automation
autonomous vehicles
convolutional neural nets
Correlation
data manipulation attacks
data poisoning attacks
Deep Neural Network
deep neural networks
DNNs
Adversarial Machine Learning
generated attack images
German Traffic Sign Recognition Benchmarks dataset
Human behavior
image classification
Image coding
image recognition
imperceptibility factor
imperceptible attack images
Imperceptible Attack Noise
biblio
AOGNets: Compositional Grammatical Architectures for Deep Learning
Submitted by grigby1 on Mon, 10/05/2020 - 12:49pm
object detection
image segmentation
ImageNet-1K classification benchmark
input feature map
learning (artificial intelligence)
model interpretability score
MS-COCO object detection
network dissection
network generator
neural architectures
neural nets
image classification
phrase structure grammar
pubcrawl
Recognition: Detection
Reconfigurability
representation learning
ResNeXt
retrieval
segmentation benchmark
SENet
deep learning
Human behavior
Human Factors
Computing Theory and Compositionality
AND-OR Grammar
AOG building block
AOGNet
AOGNets
attention based variants
categorization
deep compositional grammatical architectures
Compositionality
deep neural networks
DenseNet
dependency grammar
DNNs
DualPathNet
feature channels
feature exploration
grammar models
grammars
biblio
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks
Submitted by aekwall on Mon, 09/21/2020 - 2:36pm
adversarial inputs
Cross Layer Security
verification cross-layer ensemble
unsupervised model
supervised model verification ensemble
representative attacks
noise reduction
MODEF
Manifolds
ensemble diversity
ensemble defense
defense-attack arms race
defense success rates
cross-layer model diversity ensemble framework
black-box adversarial attacks
benign inputs
security of data
adversarial deep learning
composability
DNNs
adversarial examples
machine learning tasks
deep neural networks
Predictive models
testing
Training
Neural networks
neural nets
Robustness
pubcrawl
Resiliency
learning (artificial intelligence)
biblio
Deep Embedding Logistic Regression
Submitted by aekwall on Mon, 05/11/2020 - 10:28am
Predictive models
nonlinear dimension-wise feature embedding
narrow neural network
LR
interpretability
DNNs
DELR
deep embedding logistic regression
classification accuracy
actionability
network accountability
accountability
deep neural networks
Numerical models
Kernel
regression analysis
Mathematical model
Logistics
pattern classification
Neural networks
neural nets
Metrics
classification
composability
pubcrawl
Resiliency
learning (artificial intelligence)
feature extraction
biblio
Representation of White- and Black-Box Adversarial Examples in Deep Neural Networks and Humans: A Functional Magnetic Resonance Imaging Study
Submitted by grigby1 on Tue, 02/18/2020 - 10:53am
resilience
Metrics
neural nets
neural network
neurophysiology
Noise
pubcrawl
representation patterns
representational similarity
medical image processing
Resiliency
Task Analysis
vision
visual perception
visual representation
Visual systems
visualization
white box cryptography
DNNs
Biological neural networks
biomedical MRI
black-box adversarial examples
brain
brain-inspired deep neural networks
complex level visual tasks
composability
computer vision
adversarial example
Facial animation
fMRI
Functional magnetic resonance imaging
functional magnetic resonance imaging study
high-level visual tasks
human performance
human vision
human visual system
biblio
Test4Deep: An Effective White-Box Testing for Deep Neural Networks
Submitted by grigby1 on Tue, 02/18/2020 - 10:52am
Neurons
white-box testing framework
white box testing
white box cryptography
testing
Test4Deep
test cases
Software
Resiliency
resilience
pubcrawl
program testing
Prediction algorithms
optimization
Biological neural networks
neuron coverage
neural nets
multiple DNNs
Metrics
machine learning
learning (artificial intelligence)
generated test inputs
DNNs
diversity
DeepXplore
deep neural networks
Deep Learning testing
composability
biblio
An Energy-Efficient Stochastic Computational Deep Belief Network
Submitted by grigby1 on Wed, 03/06/2019 - 3:29pm
random number generation
high energy consumption
Human behavior
learning (artificial intelligence)
Metrics
neural nets
Neurons
nonlinearly separable patterns
pattern classification
policy-based governance
pubcrawl
Hardware
random number generators
rectifier linear unit
resilience
Resiliency
RNGs
SC-DBN design
Scalability
Stochastic computing
Stochastic processes
DNNs
belief networks
Biological neural networks
Cognitive Computing
collaboration
composability
computation speed
Correlation
Deep Belief Network
deep neural networks
approximate SC activation unit
effective machine learning models
Electronic mail
energy consumption
energy-efficient deep belief network
energy-efficient stochastic computational deep belief network
fixed point arithmetic
fixed-point implementation
floating point arithmetic
floating-point design
