Danilo Vasconcellos Vargas

is this you? claim profile

0 followers
KYUSHU UNIVERSITY

Understanding the One-Pixel Attack: Propagation Maps and Locality Analysis

Deep neural networks were shown to be vulnerable to single pixel modific...
02/08/2019 ∙ by Danilo Vasconcellos Vargas, et al. ∙ 12 ∙ share

read it
Evolving Robust Neural Architectures to Defend from Adversarial Attacks

Deep neural networks were shown to misclassify slightly modified input i...
06/27/2019 ∙ by Danilo Vasconcellos Vargas, et al. ∙ 8 ∙ share

read it
Self Organizing Classifiers: First Steps in Structured Evolutionary Machine Learning

Learning classifier systems (LCSs) are evolutionary machine learning alg...
11/20/2018 ∙ by Danilo Vasconcellos Vargas, et al. ∙ 6 ∙ share

read it
Model Agnostic Dual Quality Assessment for Adversarial Machine Learning and an Analysis of Current Neural Networks and Defenses

In adversarial machine learning, there are a huge number of attacks of v...
06/14/2019 ∙ by Danilo Vasconcellos Vargas, et al. ∙ 2 ∙ share

read it
One pixel attack for fooling deep neural networks

Recent research has revealed that the output of Deep Neural Networks (DN...
10/24/2017 ∙ by Jiawei Su, et al. ∙ 0 ∙ share

read it
Lightweight Classification of IoT Malware based on Image Recognition

The Internet of Things (IoT) is an extension of the traditional Internet...
02/11/2018 ∙ by Jiawei Su, et al. ∙ 0 ∙ share

read it
Attacking Convolutional Neural Network using Differential Evolution

The output of Convolutional Neural Networks (CNN) has been shown to be d...
04/19/2018 ∙ by Jiawei Su, et al. ∙ 0 ∙ share

read it
Contingency Training

When applied to high-dimensional datasets, feature selection algorithms ...
11/20/2018 ∙ by Danilo Vasconcellos Vargas, et al. ∙ 0 ∙ share

read it
Universal Rules for Fooling Deep Neural Networks based Text Classification

Recently, deep learning based natural language processing techniques are...
01/22/2019 ∙ by Di Li, et al. ∙ 0 ∙ share

read it
General Subpopulation Framework and Taming the Conflict Inside Populations

Structured evolutionary algorithms have been investigated for some time....
01/02/2019 ∙ by Danilo Vasconcellos Vargas, et al. ∙ 0 ∙ share

read it
Spectrum-Diverse Neuroevolution with Unified Neural Models

Learning algorithms are being increasingly adopted in various applicatio...
01/06/2019 ∙ by Danilo Vasconcellos Vargas, et al. ∙ 0 ∙ share

read it
Novelty-organizing team of classifiers in noisy and dynamic environments

In the real world, the environment is constantly changing with the input...
09/19/2018 ∙ by Danilo Vasconcellos Vargas, et al. ∙ 0 ∙ share

read it
Self Organizing Classifiers and Niched Fitness

Learning classifier systems are adaptive learning systems which have bee...
11/20/2018 ∙ by Danilo Vasconcellos Vargas, et al. ∙ 0 ∙ share

read it
Uncovering Why Deep Neural Networks Lack Robustness: Representation Metrics that Link to Adversarial Attacks

Neural networks have been shown vulnerable to adversarial samples. Sligh...
06/15/2019 ∙ by Danilo Vasconcellos Vargas, et al. ∙ 0 ∙ share

read it
Batch Tournament Selection for Genetic Programming

Lexicase selection achieves very good solution quality by introducing or...
04/18/2019 ∙ by Vinicius V. Melo, et al. ∙ 0 ∙ share

read it
Self Training Autonomous Driving Agent

Intrinsically, driving is a Markov Decision Process which suits well the...
04/26/2019 ∙ by Shashank Kotyan, et al. ∙ 0 ∙ share

read it
Tackling Unit Commitment and Load Dispatch Problems Considering All Constraints with Evolutionary Computation

Unit commitment and load dispatch problems are important and complex pro...
03/06/2019 ∙ by Danilo Vasconcellos Vargas, et al. ∙ 0 ∙ share

read it

Danilo Vasconcellos Vargas

Featured Co-authors

Wolfgang Banzhaf

Junichi Murata

Hirotaka Takano

Shashank Kotyan

Jiawei Su

Sanjiva Prasad

Daniele Sgandurra

Di Li

Moe Matsuki

Sakurai Kouichi

Venkanna U

Understanding the One-Pixel Attack: Propagation Maps and Locality Analysis

Evolving Robust Neural Architectures to Defend from Adversarial Attacks

Self Organizing Classifiers: First Steps in Structured Evolutionary Machine Learning

Model Agnostic Dual Quality Assessment for Adversarial Machine Learning and an Analysis of Current Neural Networks and Defenses

One pixel attack for fooling deep neural networks

Lightweight Classification of IoT Malware based on Image Recognition

Attacking Convolutional Neural Network using Differential Evolution

Contingency Training

Universal Rules for Fooling Deep Neural Networks based Text Classification

General Subpopulation Framework and Taming the Conflict Inside Populations

Spectrum-Diverse Neuroevolution with Unified Neural Models

Novelty-organizing team of classifiers in noisy and dynamic environments

Self Organizing Classifiers and Niched Fitness

Uncovering Why Deep Neural Networks Lack Robustness: Representation Metrics that Link to Adversarial Attacks

Batch Tournament Selection for Genetic Programming

Self Training Autonomous Driving Agent

Tackling Unit Commitment and Load Dispatch Problems Considering All Constraints with Evolutionary Computation