Danilo Vasconcellos Vargas
Danilo Vasconcellos Vargas
Assoc. Professor @Kyushu University & Vis. Researcher @The University of Tokyo
Verified email at - Homepage
Cited by
Cited by
One pixel attack for fooling deep neural networks
J Su, DV Vargas, K Sakurai
IEEE Transactions on Evolutionary Computation 23 (5), 828-841, 2019
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
Spectrum-diverse neuroevolution with unified neural models
DV Vargas, J Murata
IEEE transactions on neural networks and learning systems 28 (8), 1759-1773, 2016
Attacking convolutional neural network using differential evolution
J Su, DV Vargas, K Sakurai
IPSJ Transactions on Computer Vision and Applications 11, 1-16, 2019
Understanding the one-pixel attack: Propagation maps and locality analysis
DV Vargas, J Su
arXiv preprint arXiv:1902.02947, 2019
General subpopulation framework and taming the conflict inside populations
DV Vargas, J Murata, H Takano, ACB Delbem
Evolutionary computation 23 (1), 1-36, 2015
Evolving robust neural architectures to defend from adversarial attacks
DV Vargas, S Kotyan, SPM IIIT-NR
arXiv preprint arXiv:1906.11667 3, 2019
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
Self organizing classifiers and niched fitness
DV Vargas, H Takano, J Murata
Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013
Adversarial robustness assessment: Why in evaluation both L0 and L attacks are necessary
S Kotyan, DV Vargas
PloS one 17 (4), e0265723, 2022
Tracing MIRAI malware in networked system
Y Xu, H Koide, DV Vargas, K Sakurai
2018 sixth international symposium on computing and networking workshops …, 2018
Towards evolving robust neural architectures to defend from adversarial attacks
S Kotyan, DV Vargas
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
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
Self organizing classifiers: first steps in structured evolutionary machine learning
DV Vargas, H Takano, J Murata
Evolutionary Intelligence 6, 57-72, 2013
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
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
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
Universal rules for fooling deep neural networks based text classification
D Li, DV Vargas, S Kouichi
2019 IEEE Congress on Evolutionary Computation (CEC), 2221-2228, 2019
One pixel attack for fooling deep neural networks (2017)
J Su, DV Vargas, S Kouichi
arXiv preprint arXiv:1710.08864, 2019
Adversarial Robustness Assessment: Why both and Attacks Are Necessary
S Kotyan, DV Vargas
arXiv preprint arXiv:1906.06026, 2019
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