Danilo Vasconcellos Vargas

Orcid: 0000-0001-7442-1279

According to our database1, Danilo Vasconcellos Vargas authored at least 64 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Improving robustness for vision transformer with a simple dynamic scanning augmentation.
Neurocomputing, January, 2024

Attention-Driven Reasoning: Unlocking the Potential of Large Language Models.
CoRR, 2024

EvoSeed: Unveiling the Threat on Deep Neural Networks with Real-World Illusions.
CoRR, 2024

2023
Magnum: Tackling high-dimensional structures with self-organization.
Neurocomputing, 2023

Synthetic Shifts to Initial Seed Vector Exposes the Brittle Nature of Latent-Based Diffusion Models.
CoRR, 2023

k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis.
CoRR, 2023

The Challenges of Image Generation Models in Generating Multi-Component Images.
CoRR, 2023

Towards Improving Robustness Against Common Corruptions using Mixture of Class Specific Experts.
CoRR, 2023

Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning.
CoRR, 2023

Symmetrical SyncMap for Imbalanced General Chunking Problems.
CoRR, 2023

Generating Oscillation Activity with Echo State Network to Mimic the Behavior of a Simple Central Pattern Generator.
CoRR, 2023

Dynamical Equations With Bottom-up Self-Organizing Properties Learn Accurate Dynamical Hierarchies Without Any Loss Function.
CoRR, 2023

A Survey on Reservoir Computing and its Interdisciplinary Applications Beyond Traditional Machine Learning.
IEEE Access, 2023

Curious-II: A Multi/Many-Objective Optimization Algorithm with Subpopulations based on Multi-novelty Search.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
Image Generation from Text and Segmentation.
Proceedings of the 2022 Tenth International Symposium on Computing and Networking, CANDAR 2022, 2022

Understanding SyncMap's Dynamics and Its Self-organization Properties: A Space-time Analysis.
Proceedings of the 5th Artificial Intelligence and Cloud Computing Conference, 2022

Understanding SyncMap: Analyzing the components of Its Dynamical Equation.
Proceedings of the 5th Artificial Intelligence and Cloud Computing Conference, 2022

2021
Towards Evaluating the Representation Learned by Variational AutoEncoders.
Proceedings of the 60th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2021

Deep Neural Network Loses Attention to Adversarial Images.
Proceedings of the Workshop on Artificial Intelligence Safety 2021 co-located with the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021), 2021

Towards Understanding The Space of Unrobust Features of Neural Networks.
Proceedings of the 5th IEEE International Conference on Cybernetics, 2021

Preliminary Results for Subpopulation Algorithm Based on Novelty (SAN) Compared with the State of the Art.
Proceedings of the 5th IEEE International Conference on Cybernetics, 2021

Parameter Optimization via CMA-ES for Implementation in the Active Control of Magnetic Pillar Arrays.
Proceedings of the 5th IEEE International Conference on Cybernetics, 2021

Towards Learning Hierarchical Structures with SyncMap.
Proceedings of the 5th IEEE International Conference on Cybernetics, 2021

Continual General Chunking Problem and SyncMap.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
One-Pixel Attack: Understanding and Improving Deep Neural Networks with Evolutionary Computation.
Proceedings of the Deep Neural Evolution - Deep Learning with Evolutionary Computation, 2020

Perceptual Deep Neural Networks: Adversarial Robustness through Input Recreation.
CoRR, 2020

Understanding the One Pixel Attack: Propagation Maps and Locality Analysis.
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), 2020

Evolving Robust Neural Architectures to Defend from Adversarial Attacks.
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), 2020

Preliminary study of applied binary neural networks for neural cryptography.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Towards improvement of SUNA in multiplexers with preliminary results of simple logic gate neuron variation.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Towards evolving robust neural architectures to defend from adversarial attacks.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
One Pixel Attack for Fooling Deep Neural Networks.
IEEE Trans. Evol. Comput., 2019

Attacking convolutional neural network using differential evolution.
IPSJ Trans. Comput. Vis. Appl., 2019

Uncovering Why Deep Neural Networks Lack Robustness: Representation Metrics that Link to Adversarial Attacks.
CoRR, 2019

Model Agnostic Dual Quality Assessment for Adversarial Machine Learning and an Analysis of Current Neural Networks and Defenses.
CoRR, 2019

Batch Tournament Selection for Genetic Programming.
CoRR, 2019

Tackling Unit Commitment and Load Dispatch Problems Considering All Constraints with Evolutionary Computation.
CoRR, 2019

Self Training Autonomous Driving Agent.
Proceedings of the 58th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2019

Frame Difference Generative Adversarial Networks: Clearer Contour Video Generating.
Proceedings of the Seventh International Symposium on Computing and Networking Workshops, 2019

Towards solving neural networks with optimization trajectory search.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Batch tournament selection for genetic programming: the quality of lexicase, the speed of tournament.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Universal Rules for Fooling Deep Neural Networks based Text Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Contingency Training.
CoRR, 2018

Neural Cryptography Based on the Topology Evolving Neural Networks.
Proceedings of the Sixth International Symposium on Computing and Networking, 2018

Tracing MIRAI Malware in Networked System.
Proceedings of the Sixth International Symposium on Computing and Networking, 2018

Empirical Evaluation on Robustness of Deep Convolutional Neural Networks Activation Functions Against Adversarial Perturbation.
Proceedings of the Sixth International Symposium on Computing and Networking, 2018

A New Design for Evaluating Moving Target Defense System.
Proceedings of the Sixth International Symposium on Computing and Networking, 2018

Evolutionary reinforcement learning: general models and adaptation.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Introducing learning classifier systems: rules that capture complexity.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Lightweight Classification of IoT Malware Based on Image Recognition.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

2017
Spectrum-Diverse Neuroevolution With Unified Neural Models.
IEEE Trans. Neural Networks Learn. Syst., 2017

Evasion Attacks Against Statistical Code Obfuscation Detectors.
Proceedings of the Advances in Information and Computer Security, 2017

Effectively Protect Your Privacy: Enabling Flexible Privacy Control on Web Tracking.
Proceedings of the Fifth International Symposium on Computing and Networking, 2017

2016
Curious: Searching for Unknown Regions of Space with a Subpopulation-based Algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015
General Subpopulation Framework and Taming the Conflict Inside Populations.
Evol. Comput., 2015

The Relationship Between (Un)Fractured Problems and Division of Input Space.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Novelty-Organizing Team of Classifiers in noisy and dynamic environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Novelty-organizing classifiers applied to classification and reinforcement learning: towards flexible algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Self organizing classifiers: first steps in structured evolutionary machine learning.
Evol. Intell., 2013

Continuous adaptive reinforcement learning with the evolution of Self Organizing Classifiers.
Proceedings of the 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics, 2013

A study on the importance of selection pressure and low dimensional weak learners to produce robust ensembles.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Self organizing classifiers and niched fitness.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2011
Phylogenetic Differential Evolution.
Int. J. Nat. Comput. Res., 2011

Multi-objective Phylogenetic Algorithm: Solving Multi-objective Decomposable Deceptive Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2011


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