One pixel attack for fooling deep neural networks J Su, DV Vargas, K Sakurai
IEEE Transactions on Evolutionary Computation 23 (5), 828-841, 2019
2663 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
361 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
57 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
50 2019 Understanding the one-pixel attack: Propagation maps and locality analysis DV Vargas, J Su
arXiv preprint arXiv:1902.02947, 2019
46 2019 Evolving robust neural architectures to defend from adversarial attacks DV Vargas, S Kotyan, SPM IIIT-NR
arXiv preprint arXiv:1906.11667 3, 2019
23 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
23 2018 General subpopulation framework and taming the conflict inside populations DV Vargas, J Murata, H Takano, ACB Delbem
Evolutionary computation 23 (1), 1-36, 2015
23 2015 Self organizing classifiers and niched fitness DV Vargas, H Takano, J Murata
Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013
21 2013 Adversarial robustness assessment: Why in evaluation both L 0 and L ∞ attacks are necessary S Kotyan, DV Vargas
Plos one 17 (4), e0265723, 2022
20 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
20 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
19 2020 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
18 2019 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
16 2019 Self organizing classifiers: first steps in structured evolutionary machine learning DV Vargas, H Takano, J Murata
Evolutionary Intelligence 6, 57-72, 2013
15 2013 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
13 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
13 2011 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
12 2020 Adversarial Robustness Assessment: Why both and Attacks Are Necessary S Kotyan, DV Vargas
arXiv preprint arXiv:1906.06026, 2019
12 2019 One Pixel Attack for Fooling Deep Neural Networks. 2017 J Su, DV Vargas, K Sakurai
Режим доступа: https://arxiv. org/pdf/1710.08864. pdf, 2019
12 2019