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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
adversarial samples
biblio
Adversarial Attack against LSTM-Based DDoS Intrusion Detection System
Submitted by grigby1 on Tue, 09/07/2021 - 2:04pm
Intrusion Detection
tools
Resiliency
resilience
pubcrawl
probability weighted
Metrics
machine learning algorithms
machine learning
LSTM
adversarial samples
Human behavior
genetic algorithms
genetic algorithm
Detectors
DDoS detector
DDoS attack detection
Computer crime
composability
biblio
Improved Adversarial Attack against Black-box Machine Learning Models
Submitted by aekwall on Tue, 07/27/2021 - 1:58pm
composability
Resiliency
Metrics
pubcrawl
optimization
Perturbation methods
security
PSO
particle swarm optimization
machine learning models
boundary attack
Biological neural networks
adversarial samples
Black Box Attacks
convergence
search problems
biblio
Addressing Imbalanced Data Problem with Generative Adversarial Network For Intrusion Detection
Submitted by aekwall on Mon, 03/29/2021 - 11:58am
Neural network (NN)
imbalanced data problem
Imbalanced dataset
Intrusion Detection
learning (artificial intelligence)
machine learning
MLP Neural Network
Multilayer Perceptron
multilayer perceptrons
network security.
Generators
Neural networks
pattern classification
Predictive Metrics
pubcrawl
Scalability
security of data
Training
UGR16 dataset
Cyber Attacks
Compositionality
Resiliency
adversarial samples
Attack detection
attack labels
balanced attack sample dataset
benign data
classification
Information Reuse and Security
Data models
data wrangling
defense mechanisms
Gallium nitride
Generative Adversarial Learning
generative adversarial network
Generative Adversarial Network (GAN)
generative adversarial networks
biblio
Substitute Model Generation for Black-Box Adversarial Attack Based on Knowledge Distillation
Submitted by aekwall on Tue, 03/09/2021 - 12:04pm
deep convolutional neural network
black-box models
adversarial attack perturbation
attacking success rate
black-box adversarial attack
black-box adversarial samples
black-box CNN models
classification mechanism
compact student model
adversarial samples
DenseNet121
knowledge distillation
multiple CNN teacher models
ResNet18
substitute model
substitute model generation
white-box attacking methods
convolutional neural networks
learning (artificial intelligence)
Resiliency
pubcrawl
composability
Computational modeling
Metrics
Training
convolutional neural nets
Task Analysis
black box encryption
image classification
Predictive models
computer vision
Perturbation methods
Approximation algorithms
computer vision tasks
biblio
A Test Cases Generation Technique Based on an Adversarial Samples Generation Algorithm for Image Classification Deep Neural Networks
Submitted by aekwall on Mon, 11/02/2020 - 2:47pm
Measurement
test cases generation technique
test cases generation
Software algorithms
Software
pubcrawl
program testing
Neural networks
neural nets
Metrics
metrics testing
adversarial samples
learning (artificial intelligence)
image classification deep neural networks
image classification
Filtering
DNN
deep learning
coverage metric
Classification algorithms
artificial intelligence tasks
adversarial samples generation algorithm
biblio
Semi-black-box Attacks Against Speech Recognition Systems Using Adversarial Samples
Submitted by grigby1 on Fri, 09/04/2020 - 4:10pm
automatic speech recognition systems
Black Box Security
targeted ASR systems
semiblack-box attack
semi-black-box attacks
security vulnerabilities
Kaldi
high attack success rate
gradient-independent genetic algorithm
gradient descent algorithm
adversary-expected transcript texts
adversarial samples
adversarial attacks
white-box attacks
Speech recognition
gradient methods
security of data
Deep Neural Network
Perturbation methods
deep neural networks
Statistics
Sociology
genetic algorithms
neural nets
resilience
Resiliency
Metrics
composability
pubcrawl
Hidden Markov models
Computational modeling
biblio
Black-Box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers
Submitted by aekwall on Wed, 01/16/2019 - 2:10pm
sentiment analysis
Perturbation methods
Prediction algorithms
program debugging
pubcrawl
real-world text datasets
Recurrent neural networks
resilience
scoring strategies
pattern classification
Task Analysis
text analysis
text classification
text input
text perturbations
White Box Security
word embedding
adversarial samples
misclassification
Metrics
machine learning
learning (artificial intelligence)
IMDB movie reviews
Enron spam emails
DeepWordBug
deep learning classifiers
deep learning
composability
character-level transformations
black-box generation
black-box attack
black box attack
adversarial text sequences
biblio
Adversarial Examples Construction Towards White-Box Q Table Variation in DQN Pathfinding Training
Submitted by aekwall on Wed, 01/16/2019 - 2:10pm
Pathfinding
White-box Q table variation
White-Box attack
White Box Security
Training
Task Analysis
security
robots
robotic automatic pathfinding application
resilience
research hotspot
representative Deep Q Network algorithm
pubcrawl
Prediction algorithms
adversarial examples
optimal path finding
Metrics
machine learning
learning (artificial intelligence)
DQN pathfinding training
DQN algorithm attack
DQN
deep reinforcement learning
countermeasure application scenario
composability
Artificial Intelligence
adversarial samples
adversarial examples construction
