learning (artificial intelligence)

biblio

Adapting Users' Privacy Preferences in Smart Environments

Submitted by grigby1 on Fri, 04/03/2020 - 11:33am

Internet of Things
privacy
learning (artificial intelligence)
machine learning
pubcrawl
Human behavior
data privacy
Scalability
service providers
Privacy Policies
privacy checking
Privacy Control
Privacy Preferences
smart environment
soft privacy matching mechanism
users privacy preferences

biblio

Threshold Based Optimization of Performance Metrics with Severely Imbalanced Big Security Data

Submitted by grigby1 on Fri, 04/03/2020 - 11:18am

learning (artificial intelligence)
threshold based optimization
Slow HTTP POST
severely imbalanced slow HTTP DoS attack data
severely imbalanced big security data
security of data
pubcrawl
predictive security metrics
Performance Metrics
pattern classification
optimisation
Metrics
machine learning techniques
big data security metrics
imbalanced big dataset
Decision trees
cyber security domain
classifier predictive models
classifier performance
classification threshold
class imbalance
C4.5N decision tree
Big Data
AUC
area under the receiver operating characteristic curve

biblio

The Best of Both Worlds: Challenges in Linking Provenance and Explainability in Distributed Machine Learning

Submitted by aekwall on Mon, 03/30/2020 - 10:33am

end-to-end explainability
basic transformations
consistent data
data analysis pipeline
data pre-processing steps
data preparation
distributed file system
distributed machine learning
distributed setting
machine learning models
entire data set
explainable machine learning
explainable models
homogeneous data
linking provenance
machine learning experts
single data
Distributed databases
learning (artificial intelligence)
Resiliency
Human behavior
pubcrawl
composability
Computational modeling
Metrics
machine learning
Data models
data analysis
Entropy
Provenance
distributed system
Decision trees
data provenance
distributed computing

biblio

Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering

Submitted by aekwall on Mon, 03/30/2020 - 10:33am

PROV-ML
workflow provenance
workflow management software
scientific information systems
Resiliency
query processing
pubcrawl
provenance tracking solutions
provenance queries
provenance data representation
Provenance
composability
parallel architectures
ML lifecycle
Metrics
machine learning lifecycle
learning (artificial intelligence)
Human behavior
data handling
CUDA cores
CSE
computational science and engineering

biblio

Don't Forget Your Roots! Using Provenance Data for Transparent and Explainable Development of Machine Learning Models

Submitted by aekwall on Mon, 03/30/2020 - 10:33am

explainable development
xai
transparent development
transparency
reasoning behaviour
provenance data
process transparency
post-hoc methods
machine learning models
Explainable ML
learning (artificial intelligence)
development process
artificial intelligent systems
Provenance
Metrics
composability
pubcrawl
Human behavior
Resiliency

biblio

Novel Defense Method against Audio Adversarial Example for Speech-to-Text Transcription Neural Networks

Submitted by grigby1 on Fri, 03/27/2020 - 10:38am

computer security
speech-to-text transcription neural networks
speech-to-text
speech synthesis
Speech recognition
Sandbox Method
sandbox approach
Neural networks
defense method
Deep Speech
data representation
learning (artificial intelligence)
audio adversarial example
adversarial example
neural nets
sandboxing
composability
deep learning
policy-based governance
pubcrawl
collaboration
security of data

biblio

A Robust Malware Detection System Using Deep Learning on API Calls

Submitted by grigby1 on Fri, 03/27/2020 - 10:37am

cuckoo sandbox
robust malware detection system
redundant API
Object oriented modeling
neural nets
massive malware
massive datasets
malware detection
computer security
component
BLSTM
API sequences
API calls
API
Logic gates
application program interfaces
sandboxing
invasive software
malware
composability
policy-based governance
pubcrawl
Neural networks
feature extraction
collaboration
learning (artificial intelligence)
deep learning

biblio

Reinforcement Learning for Robotic Safe Control with Force Sensing

Submitted by grigby1 on Fri, 03/27/2020 - 10:27am

manipulators
tactual sensation
tactile sensors
Safe Coding
robotic safe control
robotic dynamic control
Resiliency
resilience
pubcrawl
policy-based governance
motion control
mobile robots
Metrics
collaboration
learning (artificial intelligence)
human-robot interaction
Human Factors
Human behavior
haptic perception
haptic interfaces
hand-coded methods
force-based reinforcement learning method
force sensors
force sensing
force sensation
control engineering computing

biblio

Machine Learning Based Ransomware Detection Using Storage Access Patterns Obtained From Live-forensic Hypervisor

Submitted by aekwall on Mon, 03/23/2020 - 12:25pm

Internet of Things devices
UK National Health Service
storage access patterns
static ransomware analysis
prevention systems
machine learning based ransomware detection
live-forensic hypervisor
live ransomware samples
large-scale cyber attacks
dynamic ransomware analysis
dynamic analysis
benign application
behavioral model
Zero-day attacks
invasive software
ransomware attacks
mobile devices
cloud services
machine learning
Metrics
Ransomware
composability
pubcrawl
Resiliency
learning (artificial intelligence)
cyber-physical systems
support vector machine
Support vector machines

biblio

Analysis of Machine Learning Techniques for Ransomware Detection

Submitted by aekwall on Mon, 03/23/2020 - 12:25pm

malware detection
Resiliency
ransomware families
Ransomware
Random Forest
Scalability
pubcrawl
policy-based governance
pattern classification
Metrics
CICAndMal2017 dataset
machine learning-based ransomware detection
machine learning
learning (artificial intelligence)
invasive software
Human behavior
cryptology
computer networks
composability
classification methods

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Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

learning (artificial intelligence)

Adapting Users' Privacy Preferences in Smart Environments

Threshold Based Optimization of Performance Metrics with Severely Imbalanced Big Security Data

The Best of Both Worlds: Challenges in Linking Provenance and Explainability in Distributed Machine Learning

Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering

Don't Forget Your Roots! Using Provenance Data for Transparent and Explainable Development of Machine Learning Models

Novel Defense Method against Audio Adversarial Example for Speech-to-Text Transcription Neural Networks

A Robust Malware Detection System Using Deep Learning on API Calls

Reinforcement Learning for Robotic Safe Control with Force Sensing

Machine Learning Based Ransomware Detection Using Storage Access Patterns Obtained From Live-forensic Hypervisor

Analysis of Machine Learning Techniques for Ransomware Detection