Danilo Vasconcellos Vargas

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 75

Top Topics

Central Pattern Generator

Learning Classifier Systems

Top Venues

GECCO (Companion)

CANDAR Workshops

GECCO Companion

Publications

Bingli Liao, Danilo Vasconcellos Vargas
Attention-Driven Reasoning: Unlocking the Potential of Large Language Models. CoRR (2024)
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 (2024)
Shashank Kotyan, Danilo Vasconcellos Vargas
Improving robustness for vision transformer with a simple dynamic scanning augmentation. Neurocomputing 565 (2024)
Shashank Kotyan, Poyuan Mao, Danilo Vasconcellos Vargas
EvoSeed: Unveiling the Threat on Deep Neural Networks with Real-World Illusions. CoRR (2024)
Bingli Liao, Danilo Vasconcellos Vargas
Beyond KV Caching: Shared Attention for Efficient LLMs. CoRR (2024)
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 (2023)
Tham Yik Foong, Shashank Kotyan, Poyuan Mao, Danilo Vasconcellos Vargas
The Challenges of Image Generation Models in Generating Multi-Component Images. CoRR (2023)
Shashank Kotyan, Danilo Vasconcellos Vargas
Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning. CoRR (2023)
Yuzi Jiang, Danilo Vasconcellos Vargas
Curious-II: A Multi/Many-Objective Optimization Algorithm with Subpopulations based on Multi-novelty Search. GECCO Companion (2023)
Shashank Kotyan, Danilo Vasconcellos Vargas
Improving Robustness for Vision Transformer with a Simple Dynamic Scanning Augmentation. CoRR (2023)
Heng Zhang, Danilo Vasconcellos Vargas
A Survey on Reservoir Computing and its Interdisciplinary Applications Beyond Traditional Machine Learning. IEEE Access 11 (2023)
Poyuan Mao, Yikfoong Tham, Heng Zhang, Danilo Vasconcellos Vargas
Magnum: Tackling high-dimensional structures with self-organization. Neurocomputing 550 (2023)
Heng Zhang, Danilo Vasconcellos Vargas
Symmetrical SyncMap for Imbalanced General Chunking Problems. CoRR (2023)
Heng Zhang, Danilo Vasconcellos Vargas
A Survey on Reservoir Computing and its Interdisciplinary Applications Beyond Traditional Machine Learning. CoRR (2023)
Shashank Kotyan, Tatsuya Ueda, Danilo Vasconcellos Vargas
k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis. CoRR (2023)
Tham Yik Foong, Danilo Vasconcellos Vargas
Generating Oscillation Activity with Echo State Network to Mimic the Behavior of a Simple Central Pattern Generator. CoRR (2023)
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)
Po-Yuan 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 (2023)
Shashank Kotyan, Danilo Vasconcellos Vargas
Towards Improving Robustness Against Common Corruptions using Mixture of Class Specific Experts. CoRR (2023)
Tham Yik Foong, Danilo Vasconcellos Vargas
Understanding SyncMap: Analyzing the components of Its Dynamical Equation. AICCC (2022)
Heng Zhang, Danilo Vasconcellos Vargas
Understanding SyncMap's Dynamics and Its Self-organization Properties: A Space-time Analysis. AICCC (2022)
Masato Osugi, Danilo Vasconcellos Vargas
Image Generation from Text and Segmentation. CANDARW (2022)
Shashank Kotyan, Danilo Vasconcellos Vargas
Deep Neural Network Loses Attention to Adversarial Images. AISafety@IJCAI (2021)
Shashank Kotyan, Danilo Vasconcellos Vargas
Deep neural network loses attention to adversarial images. CoRR (2021)
Bingli Liao, Takahiro Kanzaki, Danilo Vasconcellos Vargas
Towards Understanding The Space of Unrobust Features of Neural Networks. CYBCONF (2021)
Tham Yik Foong, Danilo Vasconcellos Vargas
Towards Learning Hierarchical Structures with SyncMap. CYBCONF (2021)
Tatsuya Ueda, Danilo Vasconcellos Vargas
Towards Evaluating the Representation Learned by Variational AutoEncoders. SICE (2021)
Yuzi Jiang, Danilo Vasconcellos Vargas
Preliminary Results for Subpopulation Algorithm Based on Novelty (SAN) Compared with the State of the Art. CYBCONF (2021)
Danilo Vasconcellos Vargas, Toshitake Asabuki
Continual General Chunking Problem and SyncMap. AAAI (2021)
Suparat Gaysornkaew, Danilo Vasconcellos Vargas, Fujio Tsumori
Parameter Optimization via CMA-ES for Implementation in the Active Control of Magnetic Pillar Arrays. CYBCONF (2021)
Raul Horacio Valencia Tenorio, Chiu-Wing Sham, Danilo Vasconcellos Vargas
Preliminary study of applied binary neural networks for neural cryptography. GECCO Companion (2020)
Danilo Vasconcellos Vargas, Toshitake Asabuki
Continual General Chunking Problem and SyncMap. CoRR (2020)
Danilo Vasconcellos Vargas, Bingli Liao, Takahiro Kanzaki
Perceptual Deep Neural Networks: Adversarial Robustness through Input Recreation. CoRR (2020)
Shashank Kotyan, Danilo Vasconcellos Vargas
Towards evolving robust neural architectures to defend from adversarial attacks. GECCO Companion (2020)
Danilo Vasconcellos Vargas, Jiawei Su
Understanding the One Pixel Attack: Propagation Maps and Locality Analysis. AISafety@IJCAI (2020)
Shashank Kotyan, Danilo Vasconcellos Vargas
Evolving Robust Neural Architectures to Defend from Adversarial Attacks. AISafety@IJCAI (2020)
Anh Due Ta, Danilo Vasconcellos Vargas
Towards improvement of SUNA in multiplexers with preliminary results of simple logic gate neuron variation. GECCO Companion (2020)
Danilo Vasconcellos Vargas, Shashank Kotyan
Model Agnostic Dual Quality Assessment for Adversarial Machine Learning and an Analysis of Current Neural Networks and Defenses. CoRR (2019)
Di Li, Danilo Vasconcellos Vargas, Kouichi Sakurai
Universal Rules for Fooling Deep Neural Networks based Text Classification. CoRR (2019)
Jiawei Su, Danilo Vasconcellos Vargas, Kouichi Sakurai
One Pixel Attack for Fooling Deep Neural Networks. IEEE Trans. Evol. Comput. 23 (5) (2019)
Danilo Vasconcellos Vargas, Jiawei Su
Understanding the One-Pixel Attack: Propagation Maps and Locality Analysis. CoRR (2019)
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)
Shashank Kotyan, Danilo Vasconcellos Vargas, Venkanna Udutalapally
Self Training Autonomous Driving Agent. SICE (2019)
Rui Qiu, Danilo Vasconcellos Vargas, Kouichi Sakurai
Frame Difference Generative Adversarial Networks: Clearer Contour Video Generating. CANDAR Workshops (2019)
Danilo Vasconcellos Vargas, Junichi Murata
Spectrum-Diverse Neuroevolution with Unified Neural Models. CoRR (2019)
Di Li, Danilo Vasconcellos Vargas, Kouichi Sakurai
Universal Rules for Fooling Deep Neural Networks based Text Classification. CEC (2019)
Lia T. Parsenadze, Danilo Vasconcellos Vargas, Toshiyuki Fujita
Towards solving neural networks with optimization trajectory search. GECCO (Companion) (2019)
Shashank Kotyan, Danilo Vasconcellos Vargas, Venkanna Udutalapally
Self Training Autonomous Driving Agent. CoRR (2019)
Danilo Vasconcellos Vargas, Shashank Kotyan
Evolving Robust Neural Architectures to Defend from Adversarial Attacks. CoRR (2019)
Vinícius Veloso de Melo, Danilo Vasconcellos Vargas, Wolfgang Banzhaf
Batch Tournament Selection for Genetic Programming. CoRR (2019)
Jiawei Su, Danilo Vasconcellos Vargas, Kouichi Sakurai
Attacking convolutional neural network using differential evolution. IPSJ Trans. Comput. Vis. Appl. 11 (2019)
Danilo Vasconcellos Vargas, Junichi Murata, Hirotaka Takano, Alexandre Cláudio Botazzo Delbem
General Subpopulation Framework and Taming the Conflict Inside Populations. CoRR (2019)
Danilo Vasconcellos Vargas, Junichi Murata, Hirotaka Takano
Tackling Unit Commitment and Load Dispatch Problems Considering All Constraints with Evolutionary Computation. CoRR (2019)
Danilo Vasconcellos Vargas, Shashank Kotyan, Moe Matsuki
Uncovering Why Deep Neural Networks Lack Robustness: Representation Metrics that Link to Adversarial Attacks. CoRR (2019)
Wai Kyi Kyi Oo, Hiroshi Koide, Danilo Vasconcellos Vargas, Kouichi Sakurai
A New Design for Evaluating Moving Target Defense System. CANDAR Workshops (2018)
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)
Jiawei Su, Danilo Vasconcellos Vargas, Sanjiva Prasad, Daniele Sgandurra, Yaokai Feng, Kouichi Sakurai
Lightweight Classification of IoT Malware based on Image Recognition. CoRR (2018)
Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata
Self Organizing Classifiers: First Steps in Structured Evolutionary Machine Learning. CoRR (2018)
Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata
Self Organizing Classifiers and Niched Fitness. CoRR (2018)
Danilo Vasconcellos Vargas
Evolutionary reinforcement learning: general models and adaptation. GECCO (Companion) (2018)
Yuetong Zhu, Danilo Vasconcellos Vargas, Kouichi Sakurai
Neural Cryptography Based on the Topology Evolving Neural Networks. CANDAR Workshops (2018)
Yao Xu, Hiroshi Koide, Danilo Vasconcellos Vargas, Kouichi Sakurai
Tracing MIRAI Malware in Networked System. CANDAR Workshops (2018)
Ryan J. Urbanowicz, Danilo Vasconcellos Vargas
Introducing learning classifier systems: rules that capture complexity. GECCO (Companion) (2018)
Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata
Contingency Training. CoRR (2018)
Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata
Novelty-organizing team of classifiers in noisy and dynamic environments. CoRR (2018)
Jiawei Su, Danilo Vasconcellos Vargas, Kouichi Sakurai
Empirical Evaluation on Robustness of Deep Convolutional Neural Networks Activation Functions Against Adversarial Perturbation. CANDAR Workshops (2018)
Jiawei Su, Danilo Vasconcellos Vargas, Kouichi Sakurai
Attacking Convolutional Neural Network using Differential Evolution. CoRR (2018)
Danilo Vasconcellos Vargas, Junichi Murata
Spectrum-Diverse Neuroevolution With Unified Neural Models. IEEE Trans. Neural Networks Learn. Syst. 28 (8) (2017)
Shiqian Yu, Danilo Vasconcellos Vargas, Kouichi Sakurai
Effectively Protect Your Privacy: Enabling Flexible Privacy Control on Web Tracking. CANDAR (2017)
Jiawei Su, Danilo Vasconcellos Vargas, Kouichi Sakurai
One pixel attack for fooling deep neural networks. CoRR (2017)
Jiawei Su, Danilo Vasconcellos Vargas, Kouichi Sakurai
Evasion Attacks Against Statistical Code Obfuscation Detectors. IWSEC (2017)
Danilo Vasconcellos Vargas, Junichi Murata
Curious: Searching for Unknown Regions of Space with a Subpopulation-based Algorithm. GECCO (Companion) (2016)
Danilo Vasconcellos Vargas, Junichi Murata, Hirotaka Takano, Alexandre Cláudio Botazzo Delbem
General Subpopulation Framework and Taming the Conflict Inside Populations. Evol. Comput. 23 (1) (2015)
Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata
The Relationship Between (Un)Fractured Problems and Division of Input Space. GECCO (Companion) (2015)
Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata
Novelty-Organizing Team of Classifiers in noisy and dynamic environments. CEC (2015)
Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata
Novelty-organizing classifiers applied to classification and reinforcement learning: towards flexible algorithms. GECCO (Companion) (2014)
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)
Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata
Self organizing classifiers: first steps in structured evolutionary machine learning. Evol. Intell. 6 (2) (2013)
Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata
Continuous adaptive reinforcement learning with the evolution of Self Organizing Classifiers. ICDL-EPIROB (2013)
Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata
Self organizing classifiers and niched fitness. GECCO (2013)
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)
Vinícius Veloso de Melo, Danilo Vasconcellos Vargas, Márcio Kassouf Crocomo
Phylogenetic Differential Evolution. Int. J. Nat. Comput. Res. 2 (1) (2011)