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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
gradient methods
biblio
A Black-Box Approach to Generate Adversarial Examples Against Deep Neural Networks for High Dimensional Input
Submitted by
grigby1
on Fri, 09/04/2020 - 4:11pm
security of data
query processing
Conferences
optimisation
pubcrawl
composability
Metrics
Resiliency
resilience
learning (artificial intelligence)
neural nets
Cyberspace
machine-to-machine communications
regression analysis
Iterative methods
deep neural networks
face recognition
adversarial perturbations
gradient methods
adversarial examples
approximation theory
black-box approach
black-box setting
CNNs
data science
extensive recent works
generate adversarial examples
generating adversarial samples
high dimensional
image classification
learning models
linear fine-grained search
linear regression model
minimizing noncontinuous function
model parameters
noncontinuous step function problem
numerous advanced image classifiers
queries
white-box setting
Zeroth order
zeroth order optimization algorithm
zeroth-order optimization method
Black Box Security
biblio
Semi-black-box Attacks Against Speech Recognition Systems Using Adversarial Samples
Submitted by
grigby1
on Fri, 09/04/2020 - 4:10pm
security of data
Computational modeling
Hidden Markov models
pubcrawl
composability
Metrics
Resiliency
resilience
neural nets
genetic algorithms
Sociology
Statistics
deep neural networks
Perturbation methods
Deep Neural Network
automatic speech recognition systems
gradient methods
Speech recognition
white-box attacks
adversarial attacks
adversarial samples
adversary-expected transcript texts
gradient descent algorithm
gradient-independent genetic algorithm
high attack success rate
Kaldi
security vulnerabilities
semi-black-box attacks
semiblack-box attack
targeted ASR systems
Black Box Security
biblio
Targeted Adversarial Examples for Black Box Audio Systems
Submitted by
grigby1
on Fri, 09/04/2020 - 4:10pm
security of data
Task Analysis
pubcrawl
composability
Metrics
Resiliency
resilience
Decoding
genetic algorithms
Sociology
Statistics
deep neural networks
adversarial attack
recurrent neural nets
Approximation algorithms
adversarial perturbations
adversarial generation
audio systems
audio transcription
automatic speech recognition systems
black box audio systems
black-box
deep recurrent networks
estimation
fooling ASR systems
gradient estimation
gradient methods
Speech recognition
speech-to-text
white-box attacks
Black Box Security
biblio
Supervised Max Hashing for Similarity Image Retrieval
Submitted by
grigby1
on Fri, 06/12/2020 - 12:08pm
-Convolutional-Neural-Networks
-Learning-to-Hash
-Winner-Take-All-Hash-Family
Approximation algorithms
argmax function
Compositionality
convolutional neural nets
convolutional neural networks
deep neural network architecture
feature extraction
feature vector generation
file organisation
gradient descent methods
gradient methods
hand-crafted feature vectors
hash algorithm
hash algorithms
hash code
Hash Function
Hash functions
hashing
image retrieval
k-ary base
labeled image datasets
learning (artificial intelligence)
mathematically differentiable approximation
nearest neighbor search
pubcrawl
Quantization (signal)
resilience
Resiliency
rich feature vectors
Semantics
similarity image retrieval
storage efficiency
supervised hashing methods
supervised max hashing
Training
biblio
Node Identification in Wireless Network Based on Convolutional Neural Network
Submitted by
grigby1
on Fri, 05/08/2020 - 3:01pm
learning (artificial intelligence)
Training
collaboration
feature extraction
convolution
convolutional neural nets
pubcrawl
policy-based governance
resilience
Resiliency
wireless sensor networks
deep learning
Ad hoc networks
wireless network
Metrics
computational complexity
wireless networks
gradient methods
Ad-Hoc Network
convolutional neural network
convolutional neural networks
local feature extraction
node identification
principal component analysis
softmax model
stochastic gradient descent method
Neural Network Security
biblio
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-Box Inference Attacks against Centralized and Federated Learning
Submitted by
grigby1
on Tue, 02/18/2020 - 11:52am
active membership inference attacks
active white-box inference attacks
black-box attacks
centralized learning
CIFAR dataset
composability
comprehensive privacy analysis
Computational modeling
Data models
data privacy
deep learning
deep learning models
deep neural networks
Deep-learning
federated learning setting
Federated-Learning
gradient methods
Inference algorithms
inference mechanisms
Inference-Attacks
learning (artificial intelligence)
Membership-Inference
Metrics
neural nets
privacy
privacy leakage
pubcrawl
resilience
Resiliency
stochastic gradient descent algorithm
Stochastic processes
Stochastic-Gradient-Descent
Training
Training data
white box cryptography
White Box Security
white-box membership inference attacks
biblio
Applying Machine Learning to Anomaly-Based Intrusion Detection Systems
Submitted by
aekwall
on Mon, 01/20/2020 - 11:56am
anomaly-based Intrusion Detection Systems
composability
gradient methods
internet
Internet-based traffic
Intrusion Detection Systems
Intrusion Detection systems (IDSs)
intrusive traffics
logistic regression
machine learning
machine learning techniques
Malicious Traffic
NSL-KDD
NSL-KDD dataset
pubcrawl
random forest classifier
random forests
regression analysis
Resiliency
security of data
sequential model
stochastic gradient decent
support vector machine
Support vector machines
telecommunication traffic
unsupervised anomaly traffic detection techniques
biblio
SECO: A Scalable Accuracy Approximate Exponential Function Via Cross-Layer Optimization
Submitted by
aekwall
on Mon, 01/20/2020 - 11:49am
adaptive exponential integrate-fire neuron model
approximate computing
approximate EFU designs
approximation theory
arithmetic units
convergence
Cross-Layer Approximation
cross-layer design method
Cross-layer optimization
deep neural networks
design space
Design Time
Dynamic Accuracy Scaling
Eigenvalues and eigenfunctions
energy-accuracy-optimal approximate multiplier
energy-efficient computing
Error analysis
error analysis method
Error Modeling
error-resilient applications
Exponential Function
exponential function unit
exponential operation
exponentiation
fault tolerant control
gradient methods
intrinsic error resilience
neural nets
Nickel
Observers
optimisation
power consumption
pubcrawl
Resiliency
runtime optimization method
Scalability
scalable accuracy approximate exponential function
SECO
signal processing
signal processing applications
Silicon
spiking neuron models
Taylor expansion
biblio
Designing Subspecies of Hardware Trojans and Their Detection Using Neural Network Approach
Submitted by
grigby1
on Fri, 03/15/2019 - 11:58am
Artificial Neural Networks
Benchmark testing
Design Time
electric devices
electronic engineering computing
feature extraction
gate-level netlist
gradient methods
Hardware
hardware devices mass-production
hardware trojan
hardware trojan subspecies designing
high-performance hardware device
integrated circuit design
invasive software
learning (artificial intelligence)
Logic gates
machine learning
machine-learning-based hardware-Trojan detection method
neural nets
neural network
neural network approach
neural-network based hardware-Trojan detection method
outsourcing
pubcrawl
third-party vendors
TPR
trigger circuits
trojan horse detection
Trojan horses
true positive rate
biblio
Accelerated Stochastic Gradient Method for Support Vector Machines Classification with Additive Kernel
Submitted by
grigby1
on Tue, 05/01/2018 - 11:38am
accelerated mini-batch stochastic gradient descent algorithm
accelerated stochastic gradient method
Acceleration
acceleration strategy
additive kernel
additive kernel version
Additives
Classification algorithms
composability
Data mining
gradient approximation
gradient methods
Kernel
learning (artificial intelligence)
linear classifier
machine learning
Metrics
mini-batch stochastic gradient descent
Nesterov's acceleration strategy
pattern classification
polynomials
pubcrawl
resilience
Resiliency
Stochastic processes
Support vector machines
Support vector machines (SVMs)
support vector machines classification
SVM classification
testing
Training
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