representation learning

biblio

Representation Learning with Function Call Graph Transformations for Malware Open Set Recognition

Submitted by grigby1 on Mon, 09/18/2023 - 3:34pm

malware
self-supervised learning
open set recognition
Resiliency Coordinator
representation learning
Costs
Malware Analysis
malware classification
graph theory
Task Analysis
Training
privacy
Resiliency
resilience
Metrics
Human behavior
pubcrawl
Neural networks
security

biblio

Hierarchical Association Features Learning for Network Traffic Recognition

Submitted by grigby1 on Wed, 07/12/2023 - 11:49am

composability
graph attention networks
representation learning
Traffic classification
dynamic networks
information processing
network intrusion detection
deep neural networks
network topology
feature extraction
telecommunication traffic
Correlation
Resiliency
resilience
Metrics
pubcrawl
security

biblio

An Improved Deep Pairwise Supervised Hashing Algorithm for Fast Image Retrieval

Submitted by grigby1 on Thu, 06/09/2022 - 1:36pm

feature extraction
pubcrawl
resilience
Manuals
Compositionality
deep neural networks
image retrieval
Quantization (signal)
hash algorithms
learning (artificial intelligence)
Image coding
Resiliency
deep hashing algorithm
hash code learning
representation learning

biblio

HIGhER: Improving instruction following with Hindsight Generation for Experience Replay

Submitted by aekwall on Tue, 06/01/2021 - 12:20pm

Task Analysis
pubcrawl
composability
Training
Generators
Linguistics
visualization
Compositionality
Trajectory
natural language processing
navigation
Reinforcement learning
representation learning

biblio

Network Anomaly Detection Based on Deep Support Vector Data Description

Submitted by aekwall on Mon, 12/14/2020 - 11:30am

network anomaly detection
Unsupervised Learning
Training
telecommunication traffic
Support vector machines
support data vector description
security of data
Resiliency
representation learning
pubcrawl
Predictive Metrics
normal traffic features
Neural networks
network traffic anomaly detection
False Data Detection
malicious traffic detection system
KDD CUP99 dataset
intrusion detection system
feature extraction
Deep-SVDD
deep support vector data description
Deep Neural Network
Data models
convolutional neural network
convolutional neural nets
composability
Big Data
Anomaly Detection

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

Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search

Submitted by grigby1 on Fri, 05/22/2020 - 1:34pm

adversarial image
Web-scale nearest-neighbor search
Web-scale image database
Visual Reasoning
visual databases
representation learning
nearest-neighbor defense settings
Large Scale Methods
ImageNet
image representation
image manifold
Datasets and Evaluation
data distribution
security of data
nearest neighbor search
convolutional networks
adversarial perturbations
nearest neighbour methods
Measurement
Metrics
deep learning
Big Data
internet
pubcrawl
convolutional neural nets

biblio

A novel network intrusion detection algorithm based on Fast Fourier Transformation

Submitted by aekwall on Mon, 05/11/2020 - 10:19am

image classification
representation learning
network intrusion detection algorithm
Matrix converters
intrusion detection problem
fast Fourier transforms
fast Fourier transformation
Discrete Fourier transforms
FFT
deep learning techniques
NSL-KDD dataset
NSL-KDD
CNN model
deep learning
computer network security
Image coding
Intrusion Detection
network traffic
convolutional neural networks
convolutional neural nets
CNN
network intrusion detection
Metrics
composability
pubcrawl
Resiliency
learning (artificial intelligence)
machine learning algorithms

biblio

DLGraph: Malware Detection Using Deep Learning and Graph Embedding

Submitted by grigby1 on Mon, 06/10/2019 - 12:59pm

Metrics
Windows application programming interface calls
Windows API calls
Trojan horses
static analysis
stacked denoising autoencoders
softmax regression
SDA
Resiliency
representation learning
pubcrawl
privacy
pattern classification
noise reduction
neural nets
microsoft windows
application program interfaces
malware detection
Malware Analysis
learning (artificial intelligence)
invasive software
Human behavior
graph theory
graph embedding
function-call graphs
function-call graph
feature extraction
embedded vector
embedded systems
DLGraph
deep learning
combined feature vector classification

biblio

Optimality of inference in hierarchical coding for distributed object-based representations

Submitted by K_Hooper on Wed, 02/28/2018 - 10:31am

hierarchical sparse coding
standards
representation learning
pubcrawl
optimisation
NP-hard optimization
near-optimal codes
multiscale representation
Matching pursuit algorithms
learning (artificial intelligence)
L0-norm constraint
inference mechanisms
hierarchical systems
complex synthetic datasets
greedy inference algorithm
greedy algorithms
encoding
distributed processing
distributed object-based representations
Dictionaries
data compression
convolutional matching pursuit
Convolutional codes
convolution
Compositionality

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Cyber-Physical Systems Virtual Organization

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

representation learning