| One pixel attack for fooling deep neural networks J Su, DV Vargas, K Sakurai IEEE Transactions on Evolutionary Computation 23 (5), 828-841, 2019 | 2493 | 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 | 335 | 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 | 55 | 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 | 45 | 2019 |
| Understanding the one-pixel attack: Propagation maps and locality analysis DV Vargas, J Su arXiv preprint arXiv:1902.02947, 2019 | 43 | 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 | 23 | 2015 |
| Evolving robust neural architectures to defend from adversarial attacks DV Vargas, S Kotyan, SPM IIIT-NR arXiv preprint arXiv:1906.11667 3, 2019 | 22 | 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 | 21 | 2018 |
| 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 L0 and L∞ attacks are necessary S Kotyan, DV Vargas PloS one 17 (4), e0265723, 2022 | 18 | 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 | 18 | 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 | 17 | 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 | 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 |
| 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 | 13 | 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 | 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 |
| 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 | 11 | 2019 |
| One pixel attack for fooling deep neural networks (2017) J Su, DV Vargas, S Kouichi arXiv preprint arXiv:1710.08864, 2019 | 11 | 2019 |
| Adversarial Robustness Assessment: Why both and Attacks Are Necessary S Kotyan, DV Vargas arXiv preprint arXiv:1906.06026, 2019 | 10 | 2019 |
SAKURAI KouichiKyushu University, Department of Computer ScienceVerified email at inf.kyushu-u.ac.jp
