One pixel attack for fooling deep neural networks J Su, DV Vargas, K Sakurai
IEEE Transactions on Evolutionary Computation 23 (5), 828-841, 2019
3028 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
423 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
60 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
52 2019 Understanding the one-pixel attack: Propagation maps and locality analysis DV Vargas, J Su
arXiv preprint arXiv:1902.02947, 2019
52 2019 Adversarial robustness assessment: Why in evaluation both L 0 and L ∞ attacks are necessary S Kotyan, DV Vargas
PLoS One 17 (4), e0265723, 2022
31 2022 A survey on reservoir computing and its interdisciplinary applications beyond traditional machine learning H Zhang, DV Vargas
IEEE Access, 2023
25 2023 Evolving robust neural architectures to defend from adversarial attacks DV Vargas, S Kotyan, SPM IIIT-NR
arXiv preprint arXiv:1906.11667 3, 2019
25 2019 Tracing MIRAI malware in networked system Y Xu, H Koide, DV Vargas, K Sakurai
2018 sixth international symposium on computing and networking workshops …, 2018
25 2018 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
25 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
24 2015 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
21 2019 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 Towards evolving robust neural architectures to defend from adversarial attacks S Kotyan, DV Vargas
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
20 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
17 2019 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
16 2020 Adversarial Robustness Assessment: Why both S Kotyan, DV Vargas
arXiv preprint arXiv:1906.06026, 2019
15 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
14 2015 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
13 2019 
Shashank KotyanPhD Student at Kyushu University; Research Intern at Sakana AIE-mail confirmado em s.kyushu-u.ac.jp
