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Danilo Vasconcellos Vargas
Danilo Vasconcellos Vargas
Assoc. Professor @Kyushu University & Vis. Researcher @The University of Tokyo
在 inf.kyushu-u.ac.jp 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
One pixel attack for fooling deep neural networks
J Su, DV Vargas, K Sakurai
IEEE Transactions on Evolutionary Computation 23 (5), 828-841, 2019
28332019
Lightweight classification of IoT malware based on image recognition
J Su, DV Vasconcellos, S Prasad, D Sgandurra, Y Feng, K Sakurai
2018 IEEE 42Nd annual computer software and applications conference (COMPSAC …, 2018
3912018
Spectrum-diverse neuroevolution with unified neural models
DV Vargas, J Murata
IEEE transactions on neural networks and learning systems 28 (8), 1759-1773, 2016
582016
Attacking convolutional neural network using differential evolution
J Su, DV Vargas, K Sakurai
IPSJ Transactions on Computer Vision and Applications 11, 1-16, 2019
512019
Understanding the one-pixel attack: Propagation maps and locality analysis
DV Vargas, J Su
arXiv preprint arXiv:1902.02947, 2019
512019
Adversarial robustness assessment: Why in evaluation both L0 and L attacks are necessary
S Kotyan, DV Vargas
PLoS One 17 (4), e0265723, 2022
252022
Evolving robust neural architectures to defend from adversarial attacks
DV Vargas, S Kotyan, SPM IIIT-NR
arXiv preprint arXiv:1906.11667 3, 2019
252019
Neural cryptography based on the topology evolving neural networks
Y Zhu, DV Vargas, K Sakurai
2018 Sixth International Symposium on Computing and Networking Workshops …, 2018
252018
General subpopulation framework and taming the conflict inside populations
DV Vargas, J Murata, H Takano, ACB Delbem
Evolutionary computation 23 (1), 1-36, 2015
232015
Self organizing classifiers and niched fitness
DV Vargas, H Takano, J Murata
Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013
212013
Towards evolving robust neural architectures to defend from adversarial attacks
S Kotyan, DV Vargas
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
192020
Batch tournament selection for genetic programming: the quality of lexicase, the speed of tournament
VV De Melo, DV Vargas, W Banzhaf
Proceedings of the genetic and evolutionary computation conference, 994-1002, 2019
192019
Tracing MIRAI malware in networked system
Y Xu, H Koide, DV Vargas, K Sakurai
2018 sixth international symposium on computing and networking workshops …, 2018
192018
Robustness assessment for adversarial machine learning: Problems, solutions and a survey of current neural networks and defenses
DV Vargas, S Kotyan
arXiv preprint arXiv:1906.06026, 2019
162019
Adversarial Robustness Assessment: Why both and Attacks Are Necessary
S Kotyan, DV Vargas
arXiv preprint arXiv:1906.06026, 2019
152019
Self organizing classifiers: first steps in structured evolutionary machine learning
DV Vargas, H Takano, J Murata
Evolutionary Intelligence 6, 57-72, 2013
152013
Preliminary study of applied binary neural networks for neural cryptography
RHV Tenorio, CW Sham, DV Vargas
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
142020
Novelty-organizing team of classifiers in noisy and dynamic environments
DV Vargas, H Takano, J Murata
2015 IEEE Congress on Evolutionary Computation (CEC), 2937-2944, 2015
132015
Multi-objective phylogenetic algorithm: Solving multi-objective decomposable deceptive problems
JP Martins, AHM Soares, DV Vargas, ACB Delbem
International Conference on Evolutionary Multi-Criterion Optimization, 285-297, 2011
132011
A survey on reservoir computing and its interdisciplinary applications beyond traditional machine learning
H Zhang, DV Vargas
IEEE Access, 2023
122023
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