| One pixel attack for fooling deep neural networks J Su, DV Vargas, K Sakurai IEEE Transactions on Evolutionary Computation 23 (5), 828-841, 2019 | 991 | 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 | 108 | 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 | 39 | 2016 |
| Self organizing classifiers and niched fitness DV Vargas, H Takano, J Murata Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013 | 19 | 2013 |
| Attacking convolutional neural network using differential evolution J Su, DV Vargas, K Sakurai IPSJ Transactions on Computer Vision and Applications 11 (1), 1-16, 2019 | 17 | 2019 |
| Understanding the one-pixel attack: Propagation maps and locality analysis DV Vargas, J Su arXiv preprint arXiv:1902.02947, 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 |
| General subpopulation framework and taming the conflict inside populations DV Vargas, J Murata, H Takano, ACB Delbem Evolutionary computation 23 (1), 1-36, 2015 | 13 | 2015 |
| Self organizing classifiers: first steps in structured evolutionary machine learning DV Vargas, H Takano, J Murata Evolutionary Intelligence 6 (2), 57-72, 2013 | 13 | 2013 |
| 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 | 12 | 2011 |
| Phylogenetic differential evolution VV de Melo, DV Vargas, MK Crocomo Natural Computing for Simulation and Knowledge Discovery, 22-40, 2014 | 9 | 2014 |
| Evolving robust neural architectures to defend from adversarial attacks DV Vargas, S Kotyan arXiv preprint arXiv:1906.11667, 2019 | 8 | 2019 |
| Algoritmo Filo-Genético. DV Vargas, ACB Delbem São Carlos, SP, Brasil., 2010 | 8 | 2010 |
| Novelty-organizing team of classifiers-a team-individual multi-objective approach to reinforcement learning DV Vargas, H Takano, J Murata 2014 Proceedings of the SICE Annual Conference (SICE), 1785-1792, 2014 | 7 | 2014 |
| 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 | 6 | 2019 |
| 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 | 6 | 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 | 6 | 2018 |
| One pixel attack for fooling deep neural networks (2017) J Su, DV Vargas, S Kouichi arXiv preprint arXiv:1710.08864, 2019 | 5 | 2019 |
| Self training autonomous driving agent S Kotyan, DV Vargas, U Venkanna 2019 58th Annual Conference of the Society of Instrument and Control …, 2019 | 4 | 2019 |
| Continuous adaptive reinforcement learning with the evolution of self organizing classifiers DV Vargas, H Takano, J Murata 2013 IEEE Third Joint International Conference on Development and Learning …, 2013 | 4 | 2013 |
Hirotaka TakanoGifu UniversityVerified email at gifu-u.ac.jp
