learning (artificial intelligence)

biblio

Multitask Adversarial Learning for Chinese Font Style Transfer

Submitted by aekwall on Mon, 02/01/2021 - 11:44am

fine-grained parts
style transfer
character images
character recognition
character sets
Chinese character complexity
Chinese font datasets
Chinese font style transfer
cross-task interactions
neural style transfer
font generation
general style transfer
MTfontGAN
multiple target ones
multitask
multitask adversarial learning
reference font
Scalability
gan
Gallium nitride
overfitting problem
Predictive Metrics
Generators
natural language processing
machine learning
Libraries
Training
neural nets
Decoding
pubcrawl
Resiliency
learning (artificial intelligence)
Task Analysis

biblio

Collaborative Distillation for Ultra-Resolution Universal Style Transfer

Submitted by aekwall on Mon, 02/01/2021 - 11:44am

linear embedding loss
compressed models
convolutional filters
deep convolutional neural network models
encoder-decoder based neural style transfer
encoder-decoder pairs
exclusive collaborative relationship
feature size mismatch
knowledge distillation method
leverage rich representations
collaborative distillation
student network
style transfer models
trained models
ultra-resolution images
ultra-resolution universal style transfer
universal style transfer
universal style transfer methods
VGG-19
Image coding
Task Analysis
learning (artificial intelligence)
Resiliency
pubcrawl
Decoding
convolutional neural nets
optimisation
data compression
Scalability
collaboration
Image resolution
Predictive Metrics
Knowledge engineering
encoding
graphics processing units
Image reconstruction
neural style transfer

biblio

An Approach to Embedding a Style Transfer Model into a Mobile APP

Submitted by aekwall on Mon, 02/01/2021 - 11:44am

pre-trained convolutional neural network model
Economic indicators
mobile users
deep learning models
neural style transfer
Mobile app
embedding CNN models
Perceptual Losses algorithm
photo processing apps
Feedforward neural networks
proceeding time
shorten waiting time
Style transfer model
TensorFlow Mobile library
time 2.0 s
time 2.8 s
traditional style transfer model
Scalability
feedforward neural network
image restoration
Predictive Metrics
feedforward neural nets
software libraries
mobile phone
convolutional neural nets
testing
machine learning
pubcrawl
Resiliency
learning (artificial intelligence)
mobile computing
Internet of Things
Big Data

biblio

Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models

Submitted by aekwall on Mon, 02/01/2021 - 11:43am

DNN-based image translation attack
attacker-chosen disease condition
attacking medical image diagnostics
biomedical image
biomedical imagery
biomedical optical imaging
deep generative models
deep learning tools
defenses
neural style transfer
eye
healthcare domain
Jekyll
medical domain
medical image diagnostics
neural style transfer framework
patient healthcare
retinal fundus image modalities
image segmentation
learning (artificial intelligence)
machine learning
Resiliency
pubcrawl
deep learning
neural nets
image watermarking
attacks
Scalability
Generative Models
Predictive Metrics
deep neural networks
sensitive data
medical image processing
medical images
diseases
medical professionals

biblio

TIRL: Enriching Actor-Critic RL with non-expert human teachers and a Trust Model

Submitted by aekwall on Mon, 02/01/2021 - 11:40am

human model
trust-based interactive task learning
TIRL
teacher demonstrations
sparse teaching signals
simulated teachers
sequential tasks
RL architecture
reinforcement learning algorithms
physical robots
nonexpert teachers
nonexpert human teachers
human teacher
learning (artificial intelligence)
attractive tools
actor-critic RL
actor-critic agent
human trust
Training data
teaching
computer aided instruction
trust model
optimal policy
pubcrawl
Human behavior

biblio

Defending Against Model Stealing Attacks With Adaptive Misinformation

Submitted by grigby1 on Thu, 01/28/2021 - 1:12pm

Metrics
training dataset
security of data
security
Scalability
Resiliency
resilience
query processing
pubcrawl
Predictive models
Perturbation methods
out-of-distribution inputs
OOD queries
neural nets
model stealing attacks
Adaptation models
learning (artificial intelligence)
labeled dataset
Human behavior
deep neural networks
Data models
Computational modeling
Cloning
clone model
black-box query access
attacker clone model
attacker
Adversary Models
Adaptive Misinformation

biblio

Pitfalls in Machine Learning-based Adversary Modeling for Hardware Systems

Submitted by grigby1 on Thu, 01/28/2021 - 1:12pm

machine learning
Scalability
Root-of-trust
Resiliency
resilience
pubcrawl
Picture archiving and communication systems
physically unclonable functions
Metrics
machine learning-based attacks
machine learning-based adversary model
Adversary Models
logic locking
learning (artificial intelligence)
Human behavior
Hardware
Cryptography
cryptographic scheme
cryptanalysis attacks
Composed Hardware
Boolean functions
Approximation algorithms

biblio

Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries

Submitted by grigby1 on Thu, 01/28/2021 - 1:10pm

neural nets
transferable adversaries
Training
Task Analysis
single-step adversaries
security of data
Scalability
Resiliency
resilience enhancement
resilience
pubcrawl
Perturbation methods
pattern classification
Neural networks
Adversarial training
Multi-step Adversaries
Metrics
machine learning
learning (artificial intelligence)
Information systems
Human behavior
defense methods
deep learning networks
deep learning
classification decision model
Artificial Neural Networks
Adversary Models

biblio

Link Prediction Adversarial Attack Via Iterative Gradient Attack

Submitted by aekwall on Mon, 01/25/2021 - 1:01pm

gradient information
attack graphs
adversarial attack
adversarial graph
deep models
defense
GAE
gradient attack (GA)
gradient attack strategy
gradient methods
graph autoencode
graph evolved tasks
iterative gradient attack
Link prediction
link prediction adversarial attack problem
node classification
real-world graphs
trained graph autoencoder model
Robustness
data privacy
Task Analysis
learning (artificial intelligence)
Resiliency
pubcrawl
composability
graph theory
privacy
security of data
neural nets
Prediction algorithms
security problem
Predictive models
Predictive Metrics
deep neural networks
Perturbation methods

biblio

ATMoS: Autonomous Threat Mitigation in SDN using Reinforcement Learning

Submitted by grigby1 on Fri, 01/22/2021 - 2:38pm

Internet of Things
threat vectors
software-defined networking
software defined networking
sequential decision making problems
SDN
Scalability
RL-based threat mitigation
resilience
Reinforcement learning
pubcrawl
neural fitted Q-learning agent
network security management
network behaviour
machine learning
learning (artificial intelligence)
threat mitigation
global network view
Decision Making
computer networks
computer network security
autonomous threat mitigation
autonomous network systems
ATMoS
APT
advanced persistent threat
ad-hoc solutions
active threat mitigation
Human behavior
Metrics
Resiliency

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Cyber-Physical Systems Virtual Organization

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

learning (artificial intelligence)

Multitask Adversarial Learning for Chinese Font Style Transfer

Collaborative Distillation for Ultra-Resolution Universal Style Transfer

An Approach to Embedding a Style Transfer Model into a Mobile APP

Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models

TIRL: Enriching Actor-Critic RL with non-expert human teachers and a Trust Model

Defending Against Model Stealing Attacks With Adaptive Misinformation

Pitfalls in Machine Learning-based Adversary Modeling for Hardware Systems

Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries

Link Prediction Adversarial Attack Via Iterative Gradient Attack

ATMoS: Autonomous Threat Mitigation in SDN using Reinforcement Learning