Danilo Vasconcellos Vargas
TitleCited byYear
One pixel attack for fooling deep neural networks
J Su, DV Vargas, K Sakurai
IEEE Transactions on Evolutionary Computation 23 (5), 828-841, 2019
4472019
Lightweight classification of IoT malware based on image recognition
J Su, VD Vasconcellos, S Prasad, S Daniele, Y Feng, K Sakurai
2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC …, 2018
402018
Spectrum-diverse neuroevolution with unified neural models
DV Vargas, J Murata
IEEE transactions on neural networks and learning systems 28 (8), 1759-1773, 2016
272016
Self organizing classifiers and niched fitness
DV Vargas, H Takano, J Murata
Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013
142013
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
122011
General subpopulation framework and taming the conflict inside populations
DV Vargas, J Murata, H Takano, ACB Delbem
Evolutionary computation 23 (1), 1-36, 2015
102015
Attacking convolutional neural network using differential evolution
J Su, DV Vargas, K Sakurai
IPSJ Transactions on Computer Vision and Applications 11 (1), 1, 2019
92019
Phylogenetic differential evolution
VV de Melo, DV Vargas, MK Crocomo
Natural Computing for Simulation and Knowledge Discovery, 22-40, 2014
92014
Self organizing classifiers: first steps in structured evolutionary machine learning
DV Vargas, H Takano, J Murata
Evolutionary Intelligence 6 (2), 57-72, 2013
92013
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
82015
Algoritmo Filo-Genético.
DV Vargas, ACB Delbem
São Carlos, SP, Brasil., 2010
82010
One pixel attack for fooling deep neural networks. 2017
J Su, DV Vargas, S Kouichi
arXiv preprint arXiv:1710.08864, 2018
72018
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
52014
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
42013
Understanding the one-pixel attack: Propagation maps and locality analysis
DV Vargas, J Su
arXiv preprint arXiv:1902.02947, 2019
32019
Self Training Autonomous Driving Agent
S Kotyan, DV Vargas, U Venkanna
2019 58th Annual Conference of the Society of Instrument and Control …, 2019
22019
Tracing Mirai malware in networked system
Y Xu, H Koide, DV Vargas, K Sakurai
2018 Sixth International Symposium on Computing and Networking Workshops …, 2018
22018
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
12019
Model agnostic dual quality assessment for adversarial machine learning and an analysis of current neural networks and defenses
DV Vargas, S Kotyan
arXiv preprint arXiv:1906.06026, 2019
12019
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
12019
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