Learning systems

biblio

Info-Retrieval with Relevance Feedback using Hybrid Learning Scheme for RS Image

Submitted by grigby1 on Fri, 12/11/2020 - 2:01pm

Resiliency
multimedia computing
multimedia information retrieval
multitarget retrieval
pubcrawl
relevance feedback
remote sensing
remote sensing image
resilience
Metadata Discovery Problem
RS image
Scalability
Support vector machines
supported vector machine
symbolic image database
Training
visual databases
image metadata
Compositionality
content-based image retrieval
content-based retrieval
exception maximization algorithm
geophysical image processing
Hybrid Learning
hybrid learning scheme parameter
image library
CBIR
image retrieval
image segmentation
info-retrieval
interactive query
learning (artificial intelligence)
Learning systems
Libraries

biblio

Query-Efficient Black-Box Attack by Active Learning

Submitted by aekwall on Mon, 07/20/2020 - 9:55am

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

Host-based Intrusion Detection Systems Inspired by Machine Learning of Agent-Based Artificial Immune Systems

Submitted by aekwall on Mon, 01/20/2020 - 10:55am

dendritic cells
TC agent
Resiliency
pubcrawl
network packets
multiagents system
multi-agent systems
machine learning
Learning systems
learning (artificial intelligence)
Intrusion Detection Systems
Intrusion Detection
Immune system
host-based intrusion detection systems
AAIDS
dendritic cell
DC agent
danger theory
computer network security
Computer hacking
Computational modeling
composability
artificial immune systems
artificial immune system
agent-based artificial immune systems
AG agent
adaptable agent-based IDS

biblio

Malware Classification with Deep Convolutional Neural Networks

Submitted by grigby1 on Mon, 06/10/2019 - 1:01pm

learning (artificial intelligence)
Support vector machines
Resiliency
resilience
pubcrawl
privacy
Microsoft malware
Metrics
malware classification
malware binaries
malware
Malimg malware
machine learning approaches
machine learning
Learning systems
challenging malware classification datasets
invasive software
image classification
Human behavior
grayscale images
Gray-scale
feedforward neural nets
deep learning framework
deep learning approach
deep learning
deep convolutional neural networks
convolutional neural networks
convolution
computer architecture
CNN

biblio

Towards Making Systems Forget with Machine Unlearning

Submitted by Katie Dey on Mon, 08/06/2018 - 12:24pm

learning (artificial intelligence)
usability perspective
Training data
summation form
statistical query learning
security perspective
security of data
recommender systems
recommendation engine
privacy risks
machine unlearning
machine learning algorithms
Learning systems
Adversarial Machine Learning
forgetting systems
Forgetting System
Feature Selection
feature modeling
feature extraction
Extraction
data privacy
Data models
data lineage
Computational modeling
complex data propagation network
Cognitive Security
Articles of Interest
Extraction
C3E 2019

biblio

On the implications of plug-and-learn adaptive hardware components toward a cyberphysical systems perspective on evolvable and adaptive hardware

Submitted by el_wehby on Thu, 05/17/2018 - 5:52pm

evolving intramodule relationships extraction
plug-and-learn adaptive hardware components
Oscillators
model-checking
model checking
Legged locomotion
Learning systems
Hardware
formal verification
Adaptation models
evolvable and adaptive hardware
evolutionary computation
EAH systems
cyberphysical systems
cyber-physical systems
Atomic measurements
Antenna measurements
1239196

biblio

Extracting Cyber Threat Intelligence from Hacker Forums: Support Vector Machines versus Convolutional Neural Networks

Submitted by grigby1 on Wed, 04/11/2018 - 1:49pm

learning (artificial intelligence)
vital information
threat vectors
text classification
Support vector machines
relevant threat intelligence
relevant threat information
pubcrawl
privacy
pattern classification
Open-Source Intelligence
Metrics
machine learning
Learning systems
Computer crime
hacker forums
hacker forum
feedforward neural nets
error-prone process
Data mining
Cyber Threat Intelligence (CTI)
cyber threat intelligence
cyber security threats
cyber security
convolutional neural networks
Convolutional Neural Network algorithms
Computer hacking

biblio

Predicting trust in human control of swarms via inverse reinforcement learning

Submitted by K_Hooper on Wed, 02/14/2018 - 11:02am

Markov Decision Process
Computational modeling
decision theory
existing trust models
Human behavior
human-in-the-loop systems
human trust
inverse reinforcement learning algorithm
learning (artificial intelligence)
Learning systems
trust level
Markov processes
multi-robot systems
pubcrawl
robotic swarm
Robot kinematics
Robot sensing systems
search mission
telerobotics
Training

biblio

A user-centric machine learning framework for cyber security operations center

Submitted by K_Hooper on Wed, 02/14/2018 - 11:00am

Scalability
Mathematical model
Metrics
model performance evaluations
Predictive models
preventive technologies
pubcrawl
Resiliency
risk score generation
risky user detection
malicious attacks
security event normalization
security information and event management system
security of data
SIEM
SOC analyst productivity
Symantec SOC production environment
user-centric
user-centric machine learning framework
flag alerts
computer security
cyber security operation center
cyber security operations center
cyber security practitioners
Data collection
Data models
data scientists
false positive rate reduction
feature engineering
artificial intelligence security
Human behavior
label creation
learning (artificial intelligence)
Learning systems
machine learning algorithm selection
machine learning algorithms
machine learning researchers
machine learning system

biblio

Collaborative Ensemble-Learning Based Intrusion Detection Systems for Clouds

Submitted by grigby1 on Thu, 12/28/2017 - 12:21pm

fuzzy classifiers
VM failures
virtual machines
Training
security of data
Resiliency
pubcrawl
pattern classification
Learning systems
learning (artificial intelligence)
KDD99
intrusion tolerance
Intrusion Detection Systems
Intrusion Detection
IDS
groupware
Anomaly Detection
fuzzy classifier
Fault-Tolerance
fault tolerant computing
Ensemble Learning
Decision trees
Decision Tree
dataset segmentation
composability
Collaborative Systems
collaborative ensemble-learning
collaboration
cloud-based distributed system
Cloud Computing
Bagging

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Cyber-Physical Systems Virtual Organization

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

Learning systems

Info-Retrieval with Relevance Feedback using Hybrid Learning Scheme for RS Image

Query-Efficient Black-Box Attack by Active Learning

Host-based Intrusion Detection Systems Inspired by Machine Learning of Agent-Based Artificial Immune Systems

Malware Classification with Deep Convolutional Neural Networks

Towards Making Systems Forget with Machine Unlearning

On the implications of plug-and-learn adaptive hardware components toward a cyberphysical systems perspective on evolvable and adaptive hardware

Extracting Cyber Threat Intelligence from Hacker Forums: Support Vector Machines versus Convolutional Neural Networks

Predicting trust in human control of swarms via inverse reinforcement learning

A user-centric machine learning framework for cyber security operations center

Collaborative Ensemble-Learning Based Intrusion Detection Systems for Clouds