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  2021 (8)
Continual General Chunking Problem and SyncMap. Vargas, D. V.; and Asabuki, T. In Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, pages 10006–10014, 2021. AAAI Press
Continual General Chunking Problem and SyncMap [link]Paper   link   bibtex  
Towards Learning Hierarchical Structures with SyncMap. Foong, T. Y.; and Vargas, D. V. In 5th IEEE International Conference on Cybernetics, CYBCONF 2021, Sendai, Japan, June 8-10, 2021, pages 7–11, 2021. IEEE
Towards Learning Hierarchical Structures with SyncMap [link]Paper   doi   link   bibtex  
Parameter Optimization via CMA-ES for Implementation in the Active Control of Magnetic Pillar Arrays. Gaysornkaew, S.; Vargas, D. V.; and Tsumori, F. In 5th IEEE International Conference on Cybernetics, CYBCONF 2021, Sendai, Japan, June 8-10, 2021, pages 61–66, 2021. IEEE
Parameter Optimization via CMA-ES for Implementation in the Active Control of Magnetic Pillar Arrays [link]Paper   doi   link   bibtex  
Preliminary Results for Subpopulation Algorithm Based on Novelty (SAN) Compared with the State of the Art. Jiang, Y.; and Vargas, D. V. In 5th IEEE International Conference on Cybernetics, CYBCONF 2021, Sendai, Japan, June 8-10, 2021, pages 67–72, 2021. IEEE
Preliminary Results for Subpopulation Algorithm Based on Novelty (SAN) Compared with the State of the Art [link]Paper   doi   link   bibtex  
Towards Understanding The Space of Unrobust Features of Neural Networks. Liao, B.; Kanzaki, T.; and Vargas, D. V. In 5th IEEE International Conference on Cybernetics, CYBCONF 2021, Sendai, Japan, June 8-10, 2021, pages 91–94, 2021. IEEE
Towards Understanding The Space of Unrobust Features of Neural Networks [link]Paper   doi   link   bibtex  
Deep Neural Network Loses Attention to Adversarial Images. Kotyan, S.; and Vargas, D. V. In Espinoza, H.; McDermid, J.; Huang, X.; Castillo-Effen, M.; Chen, X. C.; Hernández-Orallo, J.; hÉigeartaigh , S. Ó; Mallah, R.; and Pedroza, G., editor(s), Proceedings of the Workshop on Artificial Intelligence Safety 2021 co-located with the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021), Virtual, August, 2021, volume 2916, of CEUR Workshop Proceedings, 2021. CEUR-WS.org
Deep Neural Network Loses Attention to Adversarial Images [pdf]Paper   link   bibtex  
Towards Evaluating the Representation Learned by Variational AutoEncoders. Ueda, T.; and Vargas, D. V. In 60th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2021, Tokyo, Japan, September 8-10, 2021, pages 591–594, 2021. IEEE
Towards Evaluating the Representation Learned by Variational AutoEncoders [link]Paper   link   bibtex  
Deep neural network loses attention to adversarial images. Kotyan, S.; and Vargas, D. V. CoRR, abs/2106.05657. 2021.
Deep neural network loses attention to adversarial images [link]Paper   link   bibtex  
  2020 (7)
Towards improvement of SUNA in multiplexers with preliminary results of simple logic gate neuron variation. Ta, A. D.; and Vargas, D. V. In Coello, C. A. C., editor(s), GECCO '20: Genetic and Evolutionary Computation Conference, Companion Volume, Cancún, Mexico, July 8-12, 2020, pages 53–54, 2020. ACM
Towards improvement of SUNA in multiplexers with preliminary results of simple logic gate neuron variation [link]Paper   doi   link   bibtex  
Towards evolving robust neural architectures to defend from adversarial attacks. Kotyan, S.; and Vargas, D. V. In Coello, C. A. C., editor(s), GECCO '20: Genetic and Evolutionary Computation Conference, Companion Volume, Cancún, Mexico, July 8-12, 2020, pages 135–136, 2020. ACM
Towards evolving robust neural architectures to defend from adversarial attacks [link]Paper   doi   link   bibtex  
Preliminary study of applied binary neural networks for neural cryptography. Tenorio, R. H. V.; Sham, C.; and Vargas, D. V. In Coello, C. A. C., editor(s), GECCO '20: Genetic and Evolutionary Computation Conference, Companion Volume, Cancún, Mexico, July 8-12, 2020, pages 291–292, 2020. ACM
Preliminary study of applied binary neural networks for neural cryptography [link]Paper   doi   link   bibtex  
Evolving Robust Neural Architectures to Defend from Adversarial Attacks. Kotyan, S.; and Vargas, D. V. In Espinoza, H.; McDermid, J.; Huang, X.; Castillo-Effen, M.; Chen, X. C.; Hernández-Orallo, J.; hÉigeartaigh , S. Ó; and Mallah, R., editor(s), Proceedings of the Workshop on Artificial Intelligence Safety 2020 co-located with the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), Yokohama, Japan, January, 2021, volume 2640, of CEUR Workshop Proceedings, 2020. CEUR-WS.org
Evolving Robust Neural Architectures to Defend from Adversarial Attacks [pdf]Paper   link   bibtex  
Understanding the One Pixel Attack: Propagation Maps and Locality Analysis. Vargas, D. V.; and Su, J. In Espinoza, H.; McDermid, J.; Huang, X.; Castillo-Effen, M.; Chen, X. C.; Hernández-Orallo, J.; hÉigeartaigh , S. Ó; and Mallah, R., editor(s), Proceedings of the Workshop on Artificial Intelligence Safety 2020 co-located with the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), Yokohama, Japan, January, 2021, volume 2640, of CEUR Workshop Proceedings, 2020. CEUR-WS.org
Understanding the One Pixel Attack: Propagation Maps and Locality Analysis [pdf]Paper   link   bibtex  
Continual General Chunking Problem and SyncMap. Vargas, D. V.; and Asabuki, T. CoRR, abs/2006.07853. 2020.
Continual General Chunking Problem and SyncMap [link]Paper   link   bibtex  
Perceptual Deep Neural Networks: Adversarial Robustness through Input Recreation. Vargas, D. V.; Liao, B.; and Kanzaki, T. CoRR, abs/2009.01110. 2020.
Perceptual Deep Neural Networks: Adversarial Robustness through Input Recreation [link]Paper   link   bibtex  
  2019 (17)
Attacking convolutional neural network using differential evolution. Su, J.; Vargas, D. V.; and Sakurai, K. IPSJ Trans. Comput. Vis. Appl., 11: 1. 2019.
Attacking convolutional neural network using differential evolution [link]Paper   doi   link   bibtex  
One Pixel Attack for Fooling Deep Neural Networks. Su, J.; Vargas, D. V.; and Sakurai, K. IEEE Trans. Evol. Comput., 23(5): 828–841. 2019.
One Pixel Attack for Fooling Deep Neural Networks [link]Paper   doi   link   bibtex  
Universal Rules for Fooling Deep Neural Networks based Text Classification. Li, D.; Vargas, D. V.; and Sakurai, K. In IEEE Congress on Evolutionary Computation, CEC 2019, Wellington, New Zealand, June 10-13, 2019, pages 2221–2228, 2019. IEEE
Universal Rules for Fooling Deep Neural Networks based Text Classification [link]Paper   doi   link   bibtex  
Towards solving neural networks with optimization trajectory search. Parsenadze, L. T.; Vargas, D. V.; and Fujita, T. In López-Ibáñez, M.; Auger, A.; and Stützle, T., editor(s), Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2019, Prague, Czech Republic, July 13-17, 2019, pages 75–76, 2019. ACM
Towards solving neural networks with optimization trajectory search [link]Paper   doi   link   bibtex  
Batch tournament selection for genetic programming: the quality of lexicase, the speed of tournament. de Melo, V. V.; Vargas, D. V.; and Banzhaf, W. In Auger, A.; and Stützle, T., editor(s), Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2019, Prague, Czech Republic, July 13-17, 2019, pages 994–1002, 2019. ACM
Batch tournament selection for genetic programming: the quality of lexicase, the speed of tournament [link]Paper   doi   link   bibtex  
Frame Difference Generative Adversarial Networks: Clearer Contour Video Generating. Qiu, R.; Vargas, D. V.; and Sakurai, K. In Seventh International Symposium on Computing and Networking Workshops, CANDAR 2019 Workshops, Nagasaki, Japan, November 26-29, 2019, pages 169–175, 2019. IEEE
Frame Difference Generative Adversarial Networks: Clearer Contour Video Generating [link]Paper   doi   link   bibtex  
Self Training Autonomous Driving Agent. Kotyan, S.; Vargas, D. V.; and Udutalapally, V. In 58th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2019, Hiroshima, Japan, September 10-13, 2019, pages 1456–1461, 2019. IEEE
Self Training Autonomous Driving Agent [link]Paper   doi   link   bibtex  
General Subpopulation Framework and Taming the Conflict Inside Populations. Vargas, D. V.; Murata, J.; Takano, H.; and Delbem, A. C. B. CoRR, abs/1901.00266. 2019.
General Subpopulation Framework and Taming the Conflict Inside Populations [link]Paper   link   bibtex  
Universal Rules for Fooling Deep Neural Networks based Text Classification. Li, D.; Vargas, D. V.; and Sakurai, K. CoRR, abs/1901.07132. 2019.
Universal Rules for Fooling Deep Neural Networks based Text Classification [link]Paper   link   bibtex  
Understanding the One-Pixel Attack: Propagation Maps and Locality Analysis. Vargas, D. V.; and Su, J. CoRR, abs/1902.02947. 2019.
Understanding the One-Pixel Attack: Propagation Maps and Locality Analysis [link]Paper   link   bibtex  
Spectrum-Diverse Neuroevolution with Unified Neural Models. Vargas, D. V.; and Murata, J. CoRR, abs/1902.06703. 2019.
Spectrum-Diverse Neuroevolution with Unified Neural Models [link]Paper   link   bibtex  
Tackling Unit Commitment and Load Dispatch Problems Considering All Constraints with Evolutionary Computation. Vargas, D. V.; Murata, J.; and Takano, H. CoRR, abs/1903.09304. 2019.
Tackling Unit Commitment and Load Dispatch Problems Considering All Constraints with Evolutionary Computation [link]Paper   link   bibtex  
Batch Tournament Selection for Genetic Programming. de Melo, V. V.; Vargas, D. V.; and Banzhaf, W. CoRR, abs/1904.08658. 2019.
Batch Tournament Selection for Genetic Programming [link]Paper   link   bibtex  
Self Training Autonomous Driving Agent. Kotyan, S.; Vargas, D. V.; and Udutalapally, V. CoRR, abs/1904.12738. 2019.
Self Training Autonomous Driving Agent [link]Paper   link   bibtex  
Model Agnostic Dual Quality Assessment for Adversarial Machine Learning and an Analysis of Current Neural Networks and Defenses. Vargas, D. V.; and Kotyan, S. CoRR, abs/1906.06026. 2019.
Model Agnostic Dual Quality Assessment for Adversarial Machine Learning and an Analysis of Current Neural Networks and Defenses [link]Paper   link   bibtex  
Uncovering Why Deep Neural Networks Lack Robustness: Representation Metrics that Link to Adversarial Attacks. Vargas, D. V.; Kotyan, S.; and Matsuki, M. CoRR, abs/1906.06627. 2019.
Uncovering Why Deep Neural Networks Lack Robustness: Representation Metrics that Link to Adversarial Attacks [link]Paper   link   bibtex  
Evolving Robust Neural Architectures to Defend from Adversarial Attacks. Vargas, D. V.; and Kotyan, S. CoRR, abs/1906.11667. 2019.
Evolving Robust Neural Architectures to Defend from Adversarial Attacks [link]Paper   link   bibtex  
  2018 (13)
Lightweight Classification of IoT Malware Based on Image Recognition. Su, J.; Vargas, D. V.; Prasad, S.; Sgandurra, D.; Feng, Y.; and Sakurai, K. In Reisman, S.; Ahamed, S. I.; Demartini, C.; Conte, T. M.; Liu, L.; Claycomb, W. R.; Nakamura, M.; Tovar, E.; Cimato, S.; Lung, C.; Takakura, H.; Yang, J.; Akiyama, T.; Zhang, Z.; and Hasan, K., editor(s), 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018, Tokyo, Japan, 23-27 July 2018, Volume 2, pages 664–669, 2018. IEEE Computer Society
Lightweight Classification of IoT Malware Based on Image Recognition [link]Paper   doi   link   bibtex  
Introducing learning classifier systems: rules that capture complexity. Urbanowicz, R. J.; and Vargas, D. V. In Aguirre, H. E.; and Takadama, K., editor(s), Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2018, Kyoto, Japan, July 15-19, 2018, pages 619–648, 2018. ACM
Introducing learning classifier systems: rules that capture complexity [link]Paper   doi   link   bibtex  
Evolutionary reinforcement learning: general models and adaptation. Vargas, D. V. In Aguirre, H. E.; and Takadama, K., editor(s), Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2018, Kyoto, Japan, July 15-19, 2018, pages 1017–1038, 2018. ACM
Evolutionary reinforcement learning: general models and adaptation [link]Paper   doi   link   bibtex  
Empirical Evaluation on Robustness of Deep Convolutional Neural Networks Activation Functions Against Adversarial Perturbation. Su, J.; Vargas, D. V.; and Sakurai, K. In Sixth International Symposium on Computing and Networking, CANDAR Workshops 2018, Takayama, Japan, November 27-30, 2018, pages 223–227, 2018. IEEE Computer Society
Empirical Evaluation on Robustness of Deep Convolutional Neural Networks Activation Functions Against Adversarial Perturbation [link]Paper   doi   link   bibtex  
Neural Cryptography Based on the Topology Evolving Neural Networks. Zhu, Y.; Vargas, D. V.; and Sakurai, K. In Sixth International Symposium on Computing and Networking, CANDAR Workshops 2018, Takayama, Japan, November 27-30, 2018, pages 472–478, 2018. IEEE Computer Society
Neural Cryptography Based on the Topology Evolving Neural Networks [link]Paper   doi   link   bibtex  
Tracing MIRAI Malware in Networked System. Xu, Y.; Koide, H.; Vargas, D. V.; and Sakurai, K. In Sixth International Symposium on Computing and Networking, CANDAR Workshops 2018, Takayama, Japan, November 27-30, 2018, pages 534–538, 2018. IEEE Computer Society
Tracing MIRAI Malware in Networked System [link]Paper   doi   link   bibtex  
A New Design for Evaluating Moving Target Defense System. Oo, W. K. K.; Koide, H.; Vargas, D. V.; and Sakurai, K. In Sixth International Symposium on Computing and Networking, CANDAR Workshops 2018, Takayama, Japan, November 27-30, 2018, pages 561–563, 2018. IEEE Computer Society
A New Design for Evaluating Moving Target Defense System [link]Paper   doi   link   bibtex  
Lightweight Classification of IoT Malware based on Image Recognition. Su, J.; Vargas, D. V.; Prasad, S.; Sgandurra, D.; Feng, Y.; and Sakurai, K. CoRR, abs/1802.03714. 2018.
Lightweight Classification of IoT Malware based on Image Recognition [link]Paper   link   bibtex  
Attacking Convolutional Neural Network using Differential Evolution. Su, J.; Vargas, D. V.; and Sakurai, K. CoRR, abs/1804.07062. 2018.
Attacking Convolutional Neural Network using Differential Evolution [link]Paper   link   bibtex  
Novelty-organizing team of classifiers in noisy and dynamic environments. Vargas, D. V.; Takano, H.; and Murata, J. CoRR, abs/1809.07098. 2018.
Novelty-organizing team of classifiers in noisy and dynamic environments [link]Paper   link   bibtex  
Contingency Training. Vargas, D. V.; Takano, H.; and Murata, J. CoRR, abs/1811.08214. 2018.
Contingency Training [link]Paper   link   bibtex  
Self Organizing Classifiers: First Steps in Structured Evolutionary Machine Learning. Vargas, D. V.; Takano, H.; and Murata, J. CoRR, abs/1811.08225. 2018.
Self Organizing Classifiers: First Steps in Structured Evolutionary Machine Learning [link]Paper   link   bibtex  
Self Organizing Classifiers and Niched Fitness. Vargas, D. V.; Takano, H.; and Murata, J. CoRR, abs/1811.08226. 2018.
Self Organizing Classifiers and Niched Fitness [link]Paper   link   bibtex  
  2017 (4)
Spectrum-Diverse Neuroevolution With Unified Neural Models. Vargas, D. V.; and Murata, J. IEEE Trans. Neural Networks Learn. Syst., 28(8): 1759–1773. 2017.
Spectrum-Diverse Neuroevolution With Unified Neural Models [link]Paper   doi   link   bibtex  
Effectively Protect Your Privacy: Enabling Flexible Privacy Control on Web Tracking. Yu, S.; Vargas, D. V.; and Sakurai, K. In Fifth International Symposium on Computing and Networking, CANDAR 2017, Aomori, Japan, November 19-22, 2017, pages 533–536, 2017. IEEE Computer Society
Effectively Protect Your Privacy: Enabling Flexible Privacy Control on Web Tracking [link]Paper   doi   link   bibtex  
Evasion Attacks Against Statistical Code Obfuscation Detectors. Su, J.; Vargas, D. V.; and Sakurai, K. In Obana, S.; and Chida, K., editor(s), Advances in Information and Computer Security - 12th International Workshop on Security, IWSEC 2017, Hiroshima, Japan, August 30 - September 1, 2017, Proceedings, volume 10418, of Lecture Notes in Computer Science, pages 121–137, 2017. Springer
Evasion Attacks Against Statistical Code Obfuscation Detectors [link]Paper   doi   link   bibtex  
One pixel attack for fooling deep neural networks. Su, J.; Vargas, D. V.; and Sakurai, K. CoRR, abs/1710.08864. 2017.
One pixel attack for fooling deep neural networks [link]Paper   link   bibtex  
  2016 (1)
Curious: Searching for Unknown Regions of Space with a Subpopulation-based Algorithm. Vargas, D. V.; and Murata, J. In Friedrich, T.; Neumann, F.; and Sutton, A. M., editor(s), Genetic and Evolutionary Computation Conference, GECCO 2016, Denver, CO, USA, July 20-24, 2016, Companion Material Proceedings, pages 145–146, 2016. ACM
Curious: Searching for Unknown Regions of Space with a Subpopulation-based Algorithm [link]Paper   doi   link   bibtex  
  2015 (3)
General Subpopulation Framework and Taming the Conflict Inside Populations. Vargas, D. V.; Murata, J.; Takano, H.; and Delbem, A. C. B. Evol. Comput., 23(1): 1–36. 2015.
General Subpopulation Framework and Taming the Conflict Inside Populations [link]Paper   doi   link   bibtex  
Novelty-Organizing Team of Classifiers in noisy and dynamic environments. Vargas, D. V.; Takano, H.; and Murata, J. In IEEE Congress on Evolutionary Computation, CEC 2015, Sendai, Japan, May 25-28, 2015, pages 2937–2944, 2015. IEEE
Novelty-Organizing Team of Classifiers in noisy and dynamic environments [link]Paper   doi   link   bibtex  
The Relationship Between (Un)Fractured Problems and Division of Input Space. Vargas, D. V.; Takano, H.; and Murata, J. In Silva, S.; and Esparcia-Alcázar, A. I., editor(s), Genetic and Evolutionary Computation Conference, GECCO 2015, Madrid, Spain, July 11-15, 2015, Companion Material Proceedings, pages 981–987, 2015. ACM
The Relationship Between (Un)Fractured Problems and Division of Input Space [link]Paper   doi   link   bibtex  
  2014 (1)
Novelty-organizing classifiers applied to classification and reinforcement learning: towards flexible algorithms. Vargas, D. V.; Takano, H.; and Murata, J. In Arnold, D. V.; and Alba, E., editor(s), Genetic and Evolutionary Computation Conference, GECCO '14, Vancouver, BC, Canada, July 12-16, 2014, Companion Material Proceedings, pages 81–82, 2014. ACM
Novelty-organizing classifiers applied to classification and reinforcement learning: towards flexible algorithms [link]Paper   doi   link   bibtex  
  2013 (4)
Self organizing classifiers: first steps in structured evolutionary machine learning. Vargas, D. V.; Takano, H.; and Murata, J. Evol. Intell., 6(2): 57–72. 2013.
Self organizing classifiers: first steps in structured evolutionary machine learning [link]Paper   doi   link   bibtex  
Self organizing classifiers and niched fitness. Vargas, D. V.; Takano, H.; and Murata, J. In Blum, C.; and Alba, E., editor(s), Genetic and Evolutionary Computation Conference, GECCO '13, Amsterdam, The Netherlands, July 6-10, 2013, pages 1109–1116, 2013. ACM
Self organizing classifiers and niched fitness [link]Paper   doi   link   bibtex  
A study on the importance of selection pressure and low dimensional weak learners to produce robust ensembles. Vargas, D. V.; Takano, H.; and Murata, J. In Blum, C.; and Alba, E., editor(s), Genetic and Evolutionary Computation Conference, GECCO '13, Amsterdam, The Netherlands, July 6-10, 2013, Companion Material Proceedings, pages 1755–1756, 2013. ACM
A study on the importance of selection pressure and low dimensional weak learners to produce robust ensembles [link]Paper   doi   link   bibtex  
Continuous adaptive reinforcement learning with the evolution of Self Organizing Classifiers. Vargas, D. V.; Takano, H.; and Murata, J. In 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics, ICDL-EPIROB 2013, Osaka, Japan, August 18-22, 2013, pages 1–2, 2013. IEEE
Continuous adaptive reinforcement learning with the evolution of Self Organizing Classifiers [link]Paper   doi   link   bibtex  
  2011 (2)
Phylogenetic Differential Evolution. de Melo, V. V.; Vargas, D. V.; and Crocomo, M. K. Int. J. Nat. Comput. Res., 2(1): 21–38. 2011.
Phylogenetic Differential Evolution [link]Paper   doi   link   bibtex  
Multi-objective Phylogenetic Algorithm: Solving Multi-objective Decomposable Deceptive Problems. Martins, J. P.; Soares, A. H. M.; Vargas, D. V.; and Delbem, A. C. B. In Takahashi, R. H. C.; Deb, K.; Wanner, E. F.; and Greco, S., editor(s), Evolutionary Multi-Criterion Optimization - 6th International Conference, EMO 2011, Ouro Preto, Brazil, April 5-8, 2011. Proceedings, volume 6576, of Lecture Notes in Computer Science, pages 285–297, 2011. Springer
Multi-objective Phylogenetic Algorithm: Solving Multi-objective Decomposable Deceptive Problems [link]Paper   doi   link   bibtex