Multi-objective Phylogenetic Algorithm: Solving Multi-objective Decomposable Deceptive Problems. - Jean Paulo Martins; Antonio Helson Mineiro Soares; Danilo Vasconcellos Vargas; Alexandre Cláudio Botazzo Delbem (EMO, 2011)

Phylogenetic Differential Evolution. - Vinícius Veloso de Melo; Danilo Vasconcellos Vargas; Márcio Kassouf Crocomo (Int. J. Nat. Comput. Res., 2011)

Self organizing classifiers and niched fitness. - Danilo Vasconcellos Vargas; Hirotaka Takano; Junichi Murata (GECCO, 2013)

A study on the importance of selection pressure and low dimensional weak learners to produce robust ensembles. - Danilo Vasconcellos Vargas; Hirotaka Takano; Junichi Murata (GECCO (Companion), 2013)

Continuous adaptive reinforcement learning with the evolution of Self Organizing Classifiers. - Danilo Vasconcellos Vargas; Hirotaka Takano; Junichi Murata (ICDL-EPIROB, 2013)

Self organizing classifiers: first steps in structured evolutionary machine learning. - Danilo Vasconcellos Vargas; Hirotaka Takano; Junichi Murata (Evol. Intell., 2013)

Novelty-organizing classifiers applied to classification and reinforcement learning: towards flexible algorithms. - Danilo Vasconcellos Vargas; Hirotaka Takano; Junichi Murata (GECCO (Companion), 2014)

Novelty-Organizing Team of Classifiers in noisy and dynamic environments. - Danilo Vasconcellos Vargas; Hirotaka Takano; Junichi Murata (CEC, 2015)

The Relationship Between (Un)Fractured Problems and Division of Input Space. - Danilo Vasconcellos Vargas; Hirotaka Takano; Junichi Murata (GECCO (Companion), 2015)

General Subpopulation Framework and Taming the Conflict Inside Populations. - Danilo Vasconcellos Vargas; Junichi Murata; Hirotaka Takano; Alexandre Cláudio Botazzo Delbem (Evol. Comput., 2015)

Curious: Searching for Unknown Regions of Space with a Subpopulation-based Algorithm. - Danilo Vasconcellos Vargas; Junichi Murata (GECCO (Companion), 2016)

Effectively Protect Your Privacy: Enabling Flexible Privacy Control on Web Tracking. - Shiqian Yu; Danilo Vasconcellos Vargas; Kouichi Sakurai (CANDAR, 2017)

Evasion Attacks Against Statistical Code Obfuscation Detectors. - Jiawei Su; Danilo Vasconcellos Vargas; Kouichi Sakurai (IWSEC, 2017)

Spectrum-Diverse Neuroevolution With Unified Neural Models. - Danilo Vasconcellos Vargas; Junichi Murata (IEEE Trans. Neural Networks Learn. Syst., 2017)

Lightweight Classification of IoT Malware Based on Image Recognition. - Jiawei Su; Danilo Vasconcellos Vargas; Sanjiva Prasad; Daniele Sgandurra; Yaokai Feng; Kouichi Sakurai (COMPSAC (2), 2018)

Introducing learning classifier systems: rules that capture complexity. - Ryan J. Urbanowicz; Danilo Vasconcellos Vargas (GECCO (Companion), 2018)

Evolutionary reinforcement learning: general models and adaptation. - Danilo Vasconcellos Vargas (GECCO (Companion), 2018)

A New Design for Evaluating Moving Target Defense System. - Wai Kyi Kyi Oo; Hiroshi Koide; Danilo Vasconcellos Vargas; Kouichi Sakurai (CANDAR Workshops, 2018)

Empirical Evaluation on Robustness of Deep Convolutional Neural Networks Activation Functions Against Adversarial Perturbation. - Jiawei Su; Danilo Vasconcellos Vargas; Kouichi Sakurai (CANDAR Workshops, 2018)

Tracing MIRAI Malware in Networked System. - Yao Xu; Hiroshi Koide; Danilo Vasconcellos Vargas; Kouichi Sakurai (CANDAR Workshops, 2018)

Neural Cryptography Based on the Topology Evolving Neural Networks. - Yuetong Zhu; Danilo Vasconcellos Vargas; Kouichi Sakurai (CANDAR Workshops, 2018)

Contingency Training. - Danilo Vasconcellos Vargas; Hirotaka Takano; Junichi Murata (CoRR, 2018)

Universal Rules for Fooling Deep Neural Networks based Text Classification. - Di Li; Danilo Vasconcellos Vargas; Kouichi Sakurai (CEC, 2019)

Batch tournament selection for genetic programming: the quality of lexicase, the speed of tournament. - Vinícius Veloso de Melo; Danilo Vasconcellos Vargas; Wolfgang Banzhaf (GECCO, 2019)

Towards solving neural networks with optimization trajectory search. - Lia T. Parsenadze; Danilo Vasconcellos Vargas; Toshiyuki Fujita (GECCO (Companion), 2019)

Frame Difference Generative Adversarial Networks: Clearer Contour Video Generating. - Rui Qiu; Danilo Vasconcellos Vargas; Kouichi Sakurai (CANDAR Workshops, 2019)

Self Training Autonomous Driving Agent. - Shashank Kotyan; Danilo Vasconcellos Vargas; Venkanna Udutalapally (SICE, 2019)

Tackling Unit Commitment and Load Dispatch Problems Considering All Constraints with Evolutionary Computation. - Danilo Vasconcellos Vargas; Junichi Murata; Hirotaka Takano (CoRR, 2019)

Batch Tournament Selection for Genetic Programming. - Vinícius Veloso de Melo; Danilo Vasconcellos Vargas; Wolfgang Banzhaf (CoRR, 2019)

Model Agnostic Dual Quality Assessment for Adversarial Machine Learning and an Analysis of Current Neural Networks and Defenses. - Danilo Vasconcellos Vargas; Shashank Kotyan (CoRR, 2019)

Uncovering Why Deep Neural Networks Lack Robustness: Representation Metrics that Link to Adversarial Attacks. - Danilo Vasconcellos Vargas; Shashank Kotyan; Moe Matsuki (CoRR, 2019)

Attacking convolutional neural network using differential evolution. - Jiawei Su; Danilo Vasconcellos Vargas; Kouichi Sakurai (IPSJ Trans. Comput. Vis. Appl., 2019)

One Pixel Attack for Fooling Deep Neural Networks. - Jiawei Su; Danilo Vasconcellos Vargas; Kouichi Sakurai (IEEE Trans. Evol. Comput., 2019)

Towards evolving robust neural architectures to defend from adversarial attacks. - Shashank Kotyan; Danilo Vasconcellos Vargas (GECCO Companion, 2020)

Towards improvement of SUNA in multiplexers with preliminary results of simple logic gate neuron variation. - Anh Due Ta; Danilo Vasconcellos Vargas (GECCO Companion, 2020)

Preliminary study of applied binary neural networks for neural cryptography. - Raul Horacio Valencia Tenorio; Chiu-Wing Sham; Danilo Vasconcellos Vargas (GECCO Companion, 2020)

Evolving Robust Neural Architectures to Defend from Adversarial Attacks. - Shashank Kotyan; Danilo Vasconcellos Vargas (AISafety@IJCAI, 2020)

Understanding the One Pixel Attack: Propagation Maps and Locality Analysis. - Danilo Vasconcellos Vargas; Jiawei Su (AISafety@IJCAI, 2020)

Perceptual Deep Neural Networks: Adversarial Robustness through Input Recreation. - Danilo Vasconcellos Vargas; Bingli Liao; Takahiro Kanzaki (CoRR, 2020)

One-Pixel Attack: Understanding and Improving Deep Neural Networks with Evolutionary Computation. - Danilo Vasconcellos Vargas (Deep Neural Evolution, 2020)

Continual General Chunking Problem and SyncMap. - Danilo Vasconcellos Vargas; Toshitake Asabuki (AAAI, 2021)

Towards Learning Hierarchical Structures with SyncMap. - Tham Yik Foong; Danilo Vasconcellos Vargas (CYBCONF, 2021)

Parameter Optimization via CMA-ES for Implementation in the Active Control of Magnetic Pillar Arrays. - Suparat Gaysornkaew; Danilo Vasconcellos Vargas; Fujio Tsumori (CYBCONF, 2021)

Preliminary Results for Subpopulation Algorithm Based on Novelty (SAN) Compared with the State of the Art. - Yuzi Jiang; Danilo Vasconcellos Vargas (CYBCONF, 2021)

Towards Understanding The Space of Unrobust Features of Neural Networks. - Bingli Liao; Takahiro Kanzaki; Danilo Vasconcellos Vargas (CYBCONF, 2021)

Deep Neural Network Loses Attention to Adversarial Images. - Shashank Kotyan; Danilo Vasconcellos Vargas (AISafety@IJCAI, 2021)

Towards Evaluating the Representation Learned by Variational AutoEncoders. - Tatsuya Ueda; Danilo Vasconcellos Vargas (SICE, 2021)

Understanding SyncMap: Analyzing the components of Its Dynamical Equation. - Tham Yik Foong; Danilo Vasconcellos Vargas (AICCC, 2022)

Understanding SyncMap's Dynamics and Its Self-organization Properties: A Space-time Analysis. - Heng Zhang 033; Danilo Vasconcellos Vargas (AICCC, 2022)

Image Generation from Text and Segmentation. - Masato Osugi; Danilo Vasconcellos Vargas (CANDARW, 2022)

Generating oscillation activity with Echo State Network to mimic the behaviour of a simple central pattern generator. - Tham Yik Foong; Danilo Vasconcellos Vargas (CogSci, 2023)

Curious-II: A Multi/Many-Objective Optimization Algorithm with Subpopulations based on Multi-novelty Search. - Yuzi Jiang; Danilo Vasconcellos Vargas (GECCO Companion, 2023)

A Survey on Reservoir Computing and its Interdisciplinary Applications Beyond Traditional Machine Learning. - Heng Zhang 033; Danilo Vasconcellos Vargas (IEEE Access, 2023)

Dynamical Equations With Bottom-up Self-Organizing Properties Learn Accurate Dynamical Hierarchies Without Any Loss Function. - Danilo Vasconcellos Vargas; Tham Yik Foong; Heng Zhang (CoRR, 2023)

Generating Oscillation Activity with Echo State Network to Mimic the Behavior of a Simple Central Pattern Generator. - Tham Yik Foong; Danilo Vasconcellos Vargas (CoRR, 2023)

A Survey on Reservoir Computing and its Interdisciplinary Applications Beyond Traditional Machine Learning. - Heng Zhang; Danilo Vasconcellos Vargas (CoRR, 2023)

Symmetrical SyncMap for Imbalanced General Chunking Problems. - Heng Zhang; Danilo Vasconcellos Vargas (CoRR, 2023)

Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning. - Shashank Kotyan; Danilo Vasconcellos Vargas (CoRR, 2023)

Towards Improving Robustness Against Common Corruptions using Mixture of Class Specific Experts. - Shashank Kotyan; Danilo Vasconcellos Vargas (CoRR, 2023)

The Challenges of Image Generation Models in Generating Multi-Component Images. - Tham Yik Foong; Shashank Kotyan; Poyuan Mao; Danilo Vasconcellos Vargas (CoRR, 2023)

Synthetic Shifts to Initial Seed Vector Exposes the Brittle Nature of Latent-Based Diffusion Models. - Poyuan Mao; Shashank Kotyan; Tham Yik Foong; Danilo Vasconcellos Vargas (CoRR, 2023)

Magnum: Tackling high-dimensional structures with self-organization. - Poyuan Mao; Yikfoong Tham; Heng Zhang; Danilo Vasconcellos Vargas (Neurocomputing, 2023)

Robust Visual Reinforcement Learning by Prompt Tuning. - Tung Tran 006; Khoat Than; Danilo Vasconcellos Vargas (ACCV (9), 2024)

Extending Token Computation for LLM Reasoning. - Bingli Li; Danilo Vasconcellos Vargas (CSAI, 2024)

EvoSeed: Unveiling the Threat on Deep Neural Networks with Real-World Illusions. - Shashank Kotyan; Poyuan Mao; Danilo Vasconcellos Vargas (CoRR, 2024)

Attention-Driven Reasoning: Unlocking the Potential of Large Language Models. - Bingli Liao; Danilo Vasconcellos Vargas (CoRR, 2024)

Adapting to Covariate Shift in Real-time by Encoding Trees with Motion Equations. - Tham Yik Foong; Heng Zhang; Mao Po Yuan; Danilo Vasconcellos Vargas (CoRR, 2024)

Linking Robustness and Generalization: A k* Distribution Analysis of Concept Clustering in Latent Space for Vision Models. - Shashank Kotyan; Pin-Yu Chen; Danilo Vasconcellos Vargas (CoRR, 2024)

Improving robustness for vision transformer with a simple dynamic scanning augmentation. - Shashank Kotyan; Danilo Vasconcellos Vargas (Neurocomputing, 2024)

Individual vs. group dynamics: Impacts on equilibrium states in self-organizing systems. - Xueyuan Li; Danilo Vasconcellos Vargas (Neurocomputing, 2025)

Beyond KV caching: Shared attention for efficient LLMs. - Bingli Liao; Danilo Vasconcellos Vargas (Neurocomputing, 2025)

Knowledge graph embedding based on embedding permutation and high-frequency feature fusion for link prediction. - Qien Yu; Danilo Vasconcellos Vargas (Neurocomputing, 2025)

Robust Nonlinear Dynamics Conditions That Arise in Self-oscillatory Networks. - Tham Yik Foong; Danilo Vasconcellos Vargas (J. Inf. Process., 2025)

SycnMapV2: Robust and Adaptive Unsupervised Segmentation. - Heng Zhang; Zikang Wan; Danilo Vasconcellos Vargas (CoRR, 2025)

Toward Immersive Computational Storytelling: Card-Framework for Enhanced Persona-Driven Dialogues. - Bingli Liao; Danilo Vasconcellos Vargas (IEEE Trans. Games, 2025)

k* Distribution: Evaluating the Latent Space of Deep Neural Networks Using Local Neighborhood Analysis. - Shashank Kotyan; Tatsuya Ueda; Danilo Vasconcellos Vargas (IEEE Trans. Neural Networks Learn. Syst., 2025)