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ORCIDDanilo Vasconcellos Vargas
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2020 – today
- 2024
[j9]Shashank Kotyan
, Danilo Vasconcellos Vargas:
Improving robustness for vision transformer with a simple dynamic scanning augmentation. Neurocomputing 565: 127000 (2024)- [i35]Shashank Kotyan, Poyuan Mao, Danilo Vasconcellos Vargas:
EvoSeed: Unveiling the Threat on Deep Neural Networks with Real-World Illusions. CoRR abs/2402.04699 (2024) - [i34]Bingli Liao, Danilo Vasconcellos Vargas:
Attention-Driven Reasoning: Unlocking the Potential of Large Language Models. CoRR abs/2403.14932 (2024) - [i33]Tham Yik Foong, Heng Zhang, Mao Po Yuan, Danilo Vasconcellos Vargas:
Adapting to Covariate Shift in Real-time by Encoding Trees with Motion Equations. CoRR abs/2404.05168 (2024) - [i32]Bingli Liao, Danilo Vasconcellos Vargas:
Beyond KV Caching: Shared Attention for Efficient LLMs. CoRR abs/2407.12866 (2024) - [i31]Shashank Kotyan, Pin-Yu Chen, Danilo Vasconcellos Vargas:
Linking Robustness and Generalization: A k* Distribution Analysis of Concept Clustering in Latent Space for Vision Models. CoRR abs/2408.09065 (2024) - 2023
- [j8]Heng Zhang, Danilo Vasconcellos Vargas:
A Survey on Reservoir Computing and its Interdisciplinary Applications Beyond Traditional Machine Learning. IEEE Access 11: 81033-81070 (2023) - [j7]Poyuan Mao, Yikfoong Tham, Heng Zhang, Danilo Vasconcellos Vargas:
Magnum: Tackling high-dimensional structures with self-organization. Neurocomputing 550: 126508 (2023) - [c39]Tham Yik Foong, Danilo Vasconcellos Vargas:
Generating oscillation activity with Echo State Network to mimic the behaviour of a simple central pattern generator. CogSci 2023 - [c38]Yuzi Jiang, Danilo Vasconcellos Vargas:
Curious-II: A Multi/Many-Objective Optimization Algorithm with Subpopulations based on Multi-novelty Search. GECCO Companion 2023: 375-378 - [i30]Danilo Vasconcellos Vargas, Tham Yik Foong, Heng Zhang:
Dynamical Equations With Bottom-up Self-Organizing Properties Learn Accurate Dynamical Hierarchies Without Any Loss Function. CoRR abs/2302.02140 (2023) - [i29]Tham Yik Foong, Danilo Vasconcellos Vargas:
Generating Oscillation Activity with Echo State Network to Mimic the Behavior of a Simple Central Pattern Generator. CoRR abs/2306.10927 (2023) - [i28]Heng Zhang, Danilo Vasconcellos Vargas:
A Survey on Reservoir Computing and its Interdisciplinary Applications Beyond Traditional Machine Learning. CoRR abs/2307.15092 (2023) - [i27]Heng Zhang, Danilo Vasconcellos Vargas:
Symmetrical SyncMap for Imbalanced General Chunking Problems. CoRR abs/2310.10045 (2023) - [i26]Shashank Kotyan, Danilo Vasconcellos Vargas:
Improving Robustness for Vision Transformer with a Simple Dynamic Scanning Augmentation. CoRR abs/2311.00441 (2023) - [i25]Shashank Kotyan, Danilo Vasconcellos Vargas:
Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning. CoRR abs/2311.07928 (2023) - [i24]Shashank Kotyan, Danilo Vasconcellos Vargas:
Towards Improving Robustness Against Common Corruptions using Mixture of Class Specific Experts. CoRR abs/2311.10177 (2023) - [i23]Tham Yik Foong, Shashank Kotyan, Poyuan Mao, Danilo Vasconcellos Vargas:
The Challenges of Image Generation Models in Generating Multi-Component Images. CoRR abs/2311.13620 (2023) - [i22]Shashank Kotyan, Tatsuya Ueda, Danilo Vasconcellos Vargas:
k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis. CoRR abs/2312.04024 (2023) - [i21]Poyuan Mao, Shashank Kotyan, Tham Yik Foong, Danilo Vasconcellos Vargas:
Synthetic Shifts to Initial Seed Vector Exposes the Brittle Nature of Latent-Based Diffusion Models. CoRR abs/2312.11473 (2023) - 2022
- [c37]Heng Zhang, Danilo Vasconcellos Vargas:
Understanding SyncMap's Dynamics and Its Self-organization Properties: A Space-time Analysis. AICCC 2022: 14-20 - [c36]Tham Yik Foong, Danilo Vasconcellos Vargas:
Understanding SyncMap: Analyzing the components of Its Dynamical Equation. AICCC 2022: 246-254 - [c35]Masato Osugi, Danilo Vasconcellos Vargas:
Image Generation from Text and Segmentation. CANDARW 2022: 206-211 - 2021
- [c34]Danilo Vasconcellos Vargas, Toshitake Asabuki:
Continual General Chunking Problem and SyncMap. AAAI 2021: 10006-10014 - [c33]Tham Yik Foong, Danilo Vasconcellos Vargas:
Towards Learning Hierarchical Structures with SyncMap. CYBCONF 2021: 7-11 - [c32]Suparat Gaysornkaew, Danilo Vasconcellos Vargas, Fujio Tsumori:
Parameter Optimization via CMA-ES for Implementation in the Active Control of Magnetic Pillar Arrays. CYBCONF 2021: 61-66 - [c31]Yuzi Jiang, Danilo Vasconcellos Vargas:
Preliminary Results for Subpopulation Algorithm Based on Novelty (SAN) Compared with the State of the Art. CYBCONF 2021: 67-72 - [c30]Bingli Liao, Takahiro Kanzaki, Danilo Vasconcellos Vargas:
Towards Understanding The Space of Unrobust Features of Neural Networks. CYBCONF 2021: 91-94 - [c29]Shashank Kotyan, Danilo Vasconcellos Vargas:
Deep Neural Network Loses Attention to Adversarial Images. AISafety@IJCAI 2021 - [c28]Tatsuya Ueda, Danilo Vasconcellos Vargas:
Towards Evaluating the Representation Learned by Variational AutoEncoders. SICE 2021: 591-594 - [i20]Shashank Kotyan, Danilo Vasconcellos Vargas:
Deep neural network loses attention to adversarial images. CoRR abs/2106.05657 (2021) - 2020
- [c27]Anh Due Ta, Danilo Vasconcellos Vargas:
Towards improvement of SUNA in multiplexers with preliminary results of simple logic gate neuron variation. GECCO Companion 2020: 53-54 - [c26]Shashank Kotyan, Danilo Vasconcellos Vargas:
Towards evolving robust neural architectures to defend from adversarial attacks. GECCO Companion 2020: 135-136 - [c25]Raul Horacio Valencia Tenorio, Chiu-Wing Sham, Danilo Vasconcellos Vargas:
Preliminary study of applied binary neural networks for neural cryptography. GECCO Companion 2020: 291-292 - [c24]Shashank Kotyan, Danilo Vasconcellos Vargas:
Evolving Robust Neural Architectures to Defend from Adversarial Attacks. AISafety@IJCAI 2020 - [c23]Danilo Vasconcellos Vargas, Jiawei Su:
Understanding the One Pixel Attack: Propagation Maps and Locality Analysis. AISafety@IJCAI 2020 - [p1]Danilo Vasconcellos Vargas:
One-Pixel Attack: Understanding and Improving Deep Neural Networks with Evolutionary Computation. Deep Neural Evolution 2020: 401-430 - [i19]Danilo Vasconcellos Vargas, Toshitake Asabuki:
Continual General Chunking Problem and SyncMap. CoRR abs/2006.07853 (2020) - [i18]Danilo Vasconcellos Vargas, Bingli Liao, Takahiro Kanzaki:
Perceptual Deep Neural Networks: Adversarial Robustness through Input Recreation. CoRR abs/2009.01110 (2020)
2010 – 2019
- 2019
- [j6]Jiawei Su, Danilo Vasconcellos Vargas, Kouichi Sakurai:
Attacking convolutional neural network using differential evolution. IPSJ Trans. Comput. Vis. Appl. 11: 1 (2019) - [j5]Jiawei Su, Danilo Vasconcellos Vargas, Kouichi Sakurai:
One Pixel Attack for Fooling Deep Neural Networks. IEEE Trans. Evol. Comput. 23(5): 828-841 (2019) - [c22]Di Li, Danilo Vasconcellos Vargas, Kouichi Sakurai:
Universal Rules for Fooling Deep Neural Networks based Text Classification. CEC 2019: 2221-2228 - [c21]Lia T. Parsenadze, Danilo Vasconcellos Vargas, Toshiyuki Fujita:
Towards solving neural networks with optimization trajectory search. GECCO (Companion) 2019: 75-76 - [c20]Vinícius Veloso de Melo, Danilo Vasconcellos Vargas, Wolfgang Banzhaf:
Batch tournament selection for genetic programming: the quality of lexicase, the speed of tournament. GECCO 2019: 994-1002 - [c19]Rui Qiu, Danilo Vasconcellos Vargas, Kouichi Sakurai:
Frame Difference Generative Adversarial Networks: Clearer Contour Video Generating. CANDAR Workshops 2019: 169-175 - [c18]Shashank Kotyan, Danilo Vasconcellos Vargas, Venkanna Udutalapally:
Self Training Autonomous Driving Agent. SICE 2019: 1456-1461 - [i17]Danilo Vasconcellos Vargas, Junichi Murata, Hirotaka Takano, Alexandre Cláudio Botazzo Delbem:
General Subpopulation Framework and Taming the Conflict Inside Populations. CoRR abs/1901.00266 (2019) - [i16]Di Li, Danilo Vasconcellos Vargas, Kouichi Sakurai:
Universal Rules for Fooling Deep Neural Networks based Text Classification. CoRR abs/1901.07132 (2019) - [i15]Danilo Vasconcellos Vargas, Jiawei Su:
Understanding the One-Pixel Attack: Propagation Maps and Locality Analysis. CoRR abs/1902.02947 (2019) - [i14]Danilo Vasconcellos Vargas, Junichi Murata:
Spectrum-Diverse Neuroevolution with Unified Neural Models. CoRR abs/1902.06703 (2019) - [i13]Danilo Vasconcellos Vargas, Junichi Murata, Hirotaka Takano:
Tackling Unit Commitment and Load Dispatch Problems Considering All Constraints with Evolutionary Computation. CoRR abs/1903.09304 (2019) - [i12]Vinícius Veloso de Melo, Danilo Vasconcellos Vargas, Wolfgang Banzhaf:
Batch Tournament Selection for Genetic Programming. CoRR abs/1904.08658 (2019) - [i11]Shashank Kotyan, Danilo Vasconcellos Vargas, Venkanna Udutalapally:
Self Training Autonomous Driving Agent. CoRR abs/1904.12738 (2019) - [i10]Danilo Vasconcellos Vargas, Shashank Kotyan:
Model Agnostic Dual Quality Assessment for Adversarial Machine Learning and an Analysis of Current Neural Networks and Defenses. CoRR abs/1906.06026 (2019) - [i9]Danilo Vasconcellos Vargas, Shashank Kotyan, Moe Matsuki:
Uncovering Why Deep Neural Networks Lack Robustness: Representation Metrics that Link to Adversarial Attacks. CoRR abs/1906.06627 (2019) - [i8]Danilo Vasconcellos Vargas, Shashank Kotyan:
Evolving Robust Neural Architectures to Defend from Adversarial Attacks. CoRR abs/1906.11667 (2019) - 2018
- [c17]Jiawei Su, Danilo Vasconcellos Vargas, Sanjiva Prasad, Daniele Sgandurra, Yaokai Feng, Kouichi Sakurai:
Lightweight Classification of IoT Malware Based on Image Recognition. COMPSAC (2) 2018: 664-669 - [c16]Ryan J. Urbanowicz, Danilo Vasconcellos Vargas:
Introducing learning classifier systems: rules that capture complexity. GECCO (Companion) 2018: 619-648 - [c15]Danilo Vasconcellos Vargas:
Evolutionary reinforcement learning: general models and adaptation. GECCO (Companion) 2018: 1017-1038 - [c14]Jiawei Su, Danilo Vasconcellos Vargas, Kouichi Sakurai:
Empirical Evaluation on Robustness of Deep Convolutional Neural Networks Activation Functions Against Adversarial Perturbation. CANDAR Workshops 2018: 223-227 - [c13]Yuetong Zhu, Danilo Vasconcellos Vargas, Kouichi Sakurai:
Neural Cryptography Based on the Topology Evolving Neural Networks. CANDAR Workshops 2018: 472-478 - [c12]Yao Xu, Hiroshi Koide, Danilo Vasconcellos Vargas, Kouichi Sakurai:
Tracing MIRAI Malware in Networked System. CANDAR Workshops 2018: 534-538 - [c11]Wai Kyi Kyi Oo, Hiroshi Koide, Danilo Vasconcellos Vargas, Kouichi Sakurai:
A New Design for Evaluating Moving Target Defense System. CANDAR Workshops 2018: 561-563 - [i7]Jiawei Su, Danilo Vasconcellos Vargas, Sanjiva Prasad, Daniele Sgandurra, Yaokai Feng, Kouichi Sakurai:
Lightweight Classification of IoT Malware based on Image Recognition. CoRR abs/1802.03714 (2018) - [i6]Jiawei Su, Danilo Vasconcellos Vargas, Kouichi Sakurai:
Attacking Convolutional Neural Network using Differential Evolution. CoRR abs/1804.07062 (2018) - [i5]Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata:
Novelty-organizing team of classifiers in noisy and dynamic environments. CoRR abs/1809.07098 (2018) - [i4]Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata:
Contingency Training. CoRR abs/1811.08214 (2018) - [i3]Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata:
Self Organizing Classifiers: First Steps in Structured Evolutionary Machine Learning. CoRR abs/1811.08225 (2018) - [i2]Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata:
Self Organizing Classifiers and Niched Fitness. CoRR abs/1811.08226 (2018) - 2017
- [j4]Danilo Vasconcellos Vargas, Junichi Murata:
Spectrum-Diverse Neuroevolution With Unified Neural Models. IEEE Trans. Neural Networks Learn. Syst. 28(8): 1759-1773 (2017) - [c10]Shiqian Yu, Danilo Vasconcellos Vargas, Kouichi Sakurai:
Effectively Protect Your Privacy: Enabling Flexible Privacy Control on Web Tracking. CANDAR 2017: 533-536 - [c9]Jiawei Su, Danilo Vasconcellos Vargas, Kouichi Sakurai:
Evasion Attacks Against Statistical Code Obfuscation Detectors. IWSEC 2017: 121-137 - [i1]Jiawei Su, Danilo Vasconcellos Vargas, Kouichi Sakurai:
One pixel attack for fooling deep neural networks. CoRR abs/1710.08864 (2017) - 2016
- [c8]Danilo Vasconcellos Vargas, Junichi Murata:
Curious: Searching for Unknown Regions of Space with a Subpopulation-based Algorithm. GECCO (Companion) 2016: 145-146 - 2015
- [j3]Danilo Vasconcellos Vargas, Junichi Murata, Hirotaka Takano, Alexandre Cláudio Botazzo Delbem:
General Subpopulation Framework and Taming the Conflict Inside Populations. Evol. Comput. 23(1): 1-36 (2015) - [c7]Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata:
Novelty-Organizing Team of Classifiers in noisy and dynamic environments. CEC 2015: 2937-2944 - [c6]Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata:
The Relationship Between (Un)Fractured Problems and Division of Input Space. GECCO (Companion) 2015: 981-987 - 2014
- [c5]Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata:
Novelty-organizing classifiers applied to classification and reinforcement learning: towards flexible algorithms. GECCO (Companion) 2014: 81-82 - 2013
- [j2]Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata:
Self organizing classifiers: first steps in structured evolutionary machine learning. Evol. Intell. 6(2): 57-72 (2013) - [c4]Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata:
Self organizing classifiers and niched fitness. GECCO 2013: 1109-1116 - [c3]Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata:
A study on the importance of selection pressure and low dimensional weak learners to produce robust ensembles. GECCO (Companion) 2013: 1755-1756 - [c2]Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata:
Continuous adaptive reinforcement learning with the evolution of Self Organizing Classifiers. ICDL-EPIROB 2013: 1-2 - 2011
- [j1]Vinícius Veloso de Melo, Danilo Vasconcellos Vargas, Márcio Kassouf Crocomo:
Phylogenetic Differential Evolution. Int. J. Nat. Comput. Res. 2(1): 21-38 (2011) - [c1]Jean Paulo Martins, Antonio Helson Mineiro Soares, Danilo Vasconcellos Vargas, Alexandre Cláudio Botazzo Delbem:
Multi-objective Phylogenetic Algorithm: Solving Multi-objective Decomposable Deceptive Problems. EMO 2011: 285-297
Coauthor Index
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last updated on 2024-09-26 00:59 CEST by the dblp team
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