Kayuã Oleques Paim

CNPq PhD Fellow

PhD candidate in Computer Science at the Federal University of Rio Grande do Sul (UFRGS), Master's in Software Engineering and Bachelor's in Computer Science from the Federal University of Pampa (Unipampa). My main research interests are focused on Symbolic Artificial Intelligence, Knowledge Representation, and Deep Neural Networks. I am currently working with Sound Recognition, Data Imputation, Synthetic Data Generation, Data Augmentation, and Text-to-Image/Video.

KP

Kayuã Paim

PhD Student | AI Researcher

Education

Ph.D. in Computer Science

Federal University of Rio Grande do Sul (UFRGS)
March 2023 - Present

Focus on Artificial Intelligence, Information Security, and Data Science. CNPq Scholarship holder. Research on Deep Learning, Generative AI, and Cybersecurity applications.

Master's in Computer Science

Federal University of Rio Grande do Sul (UFRGS)
March 2021 - February 2023

Focus on Deep Learning applied to Cybersecurity. Thesis on data generation using GANs for malware detection systems. CAPES Scholarship holder.

Bachelor's in Computer Science

Federal University of Rio Grande do Sul (UFRGS)
March 2017 - December 2020

Final project on using Deep Learning for monitoring traces reconstruction in large-scale systems. Academic Excellence Scholarship holder (2019-2020).

Awards and Honors

🏆

Best Tool

2025

Brazilian Computer Society

Best Tool at the Tool Exhibition of the XXV Brazilian Symposium on Cybersecurity

Google BugHunter Awards

2025

Google

Snake - Submit a valid report in the year of the Snake

Google Award

2025

Brazilian Computer Society

XXV Brazilian Symposium on Cybersecurity

🥈

Honorable Mention

2024

Brazilian Computer Society

Short Paper - SBSEG 2024

💎

Distinguished Artifact

2024

Brazilian Computer Society

SBSEG 2024

🥈

2nd Best Paper

2023

Brazilian Computer Society

WRSeg 2023

Research Areas

Curriculum Learning

Natural Language Process

Sound Recognition

Synthetic Data Generation

Text-to-Image/Video

Data Augmentation

Diffusion Models

LLM Architecture

Research Projects

🛡️

LLMs and SLMs Applied to Cybersecurity

2024 - Present

Exploring the potential of large and small-scale language models in activities such as emerging threat identification, predictive incident analysis, incident response support, and creation of automated mitigation guidelines.

🛡️

GT - Malware DataLab

2023 - Present

Execution and Evaluation Service for Artificial Neural Networks for Malware Data Generation. Development of strategies to enrich Android malware datasets using advanced techniques such as GANs.

🌐

Deep Learning for Dataset Correction

2021 - 2022

Development of Deep Learning techniques to correct monitoring datasets of large-scale distributed networks and systems. Focus on correcting missing values obtained from partial measurements, essential for management, research, and innovation activities.

Technical Skills

💻

Linguagens

PythonPython CC C++C++ JavaJava KotlinKotlin JavaScriptJavaScript TypeScriptTypeScript HTMLHTML CSSCSS ShellShell
🔧

Frameworks

TensorFlowTensorFlow PyTorchPyTorch KerasKeras TransformersTransformers LangChainLangChain
📚

Bibliotecas

Scikit-learnScikit-learn OpenCVOpenCV MatplotlibMatplotlib SciPySciPy NumPyNumPy PandasPandas CUDACUDA JAXJAX GymnasiumGymnasium

Scientific Production

Journal Articles

Regenerating Networked Systems' Monitoring Traces Using Neural Networks

PAIM, KAYUÃ OLEQUES; QUINCOZES, VAGNER ERENO; KREUTZ, DIEGO; MANSILHA, RODRIGO BRANDÃO; CORDEIRO, WEVERTON

Journal of Network and Systems Management, v. 32, p. 16, 2024 | Citações: 1

Acoustic identification of Ae. aegypti mosquitoes using smartphone apps and residual convolutional neural networks

PAIM, K. O.; ROHWEDER, RICARDO; RECAMONDE-MENDOZA, MARIANA; MANSILHA, R.; CORDEIRO, WEVERTON

Biomedical Signal Processing and Control, v. 95, p. 106342, 2024 | Citações: 2

Revisiting the coupon collector's problem to unveil users' online sessions in networked systems

CORDEIRO, WEVERTON; GASPARY, LUCIANO; BELTRAN, RAFAEL; PAIM, KAYUÃ; MANSILHA, RODRIGO

Peer-to-Peer Networking and Applications, v. 1, p. 1, 2020 | Citações: 2

Conference Papers

Acoustic Identification of Aedes aegypti: Experimental Assessment of Different Machine Learning Techniques

PAIM, K. O.; SILVA, T. M. D.; DILLY, J.; TAVARES, A. R.; CUNHA, M. P.; SILVA, O. S.; RECAMONDE-MENDOZA, M.; MANSILHA, R.; CORDEIRO, W.

SEMISH 2025 - Seminário Integrado de Software e de Hardware, Maceió-AL

Exploiting Latent Space Discontinuities for Building Universal Jailbreaks and Data Extraction Attacks: A New Approach

PAIM, K. O.; KREUTZ, D. L; FRANCO, M. F.; MANSILHA, RODRIGO; CORDEIRO, W.

XXV Simpósio Brasileiro de Cibersegurança - SBSeg 2025, Foz do Iguaçu - PR

Além da Similaridade: Uma Super-Métrica Generalizável para Avaliação de Fidelidade em Dados Sintéticos de Malware

GOMES, A. L.; DINIZ, A. G.; KREUTZ, DIEGO; PAIM, K. O.; MANSILHA, RODRIGO; FONSECA, C. N.

XXV Simpósio Brasileiro de Cibersegurança - SBSeg 2025, Foz do Iguaçu - PR

MalDataGen: A Modular Framework for Synthetic Tabular Data Generation in Malware Detection

PAIM, K. O.; DINIZ, A. G.; KREUTZ, D. L; CORDEIRO, W.; BRANDAO, R.

XXV Simpósio Brasileiro de Cibersegurança - Salão de Ferramentas, Foz do Iguaçu - PR

Geração de dados sintéticos tabulares para detecção de malware Android: um estudo de caso

DINIZ, A. G.; PAIM, KAYUÃ OLEQUES; BRANGANCA, H.; BRANDAO, R.; KREUTZ, D. L

XXIV Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais, São José dos Campos, 2024

MosqMon: um sistema distribuído para captura de faixas de áudio para treinamento de RNAs detectoras de mosquito Ae. aegypti

RODRIGUES, Y. F.; RODRIGUES, R. N.; PAIM, K. O.; Kreutz, Diego; CORDEIRO, W.; BRANDAO, R.

XXI Escola Regional de Redes de Computadores (ERRC), Porto Alegre, 2024

DroidAugmentor: uma ferramenta de treinamento e avaliação de cGANs para geração de dados sintéticos

FERNANDES, K. C.; PAIM, K. O.; BRANDAO, R.; KREUTZ, D. L

Salão de Ferramentas do SBSeg 2023, Juiz de Fora

AutoDroid: disponibilizando a ferramenta DroidAugmentor como serviço

LAVIOLA, L. F.; PAIM, K. O.; KREUTZ, D. L; BRANDAO, R.

7º Workshop Regional de Segurança da Informação e de Sistemas Computacionais, Porto Alegre, 2023

Fix Me If You Can: Using Neural Networks to Regenerate Networked Systems' Monitoring Traces

PAIM, KAYUA O.; QUINCOZES, VAGNER E.; KREUTZ, DIEGO; MANSILHA, RODRIGO B.; CORDEIRO, WEVERTON

NOMS 2022 - IEEE/IFIP Network Operations and Management Symposium, Budapest

Orquestrando Avaliações Experimentais com ICN-Stage

BELTRAN, R. D.; PAIM, KAYUÃ; KREUTZ, D. L; BRANDAO, R.; CORDEIRO, WEVERTON

XIII Workshop de Pesquisa Experimental da Internet do Futuro (WPEIF 2022), Fortaleza, CE

FWNL: Um Sistema de Processamento de Linguagem Natural para Configuração de Múltiplos Firewalls

GOULART, J. A. S.; FAGUNDES JUNIOR, W. L. M.; PAIM, KAYUA O.; LUNARDI, G. M.; KREUTZ, D. L; MANSILHA, RODRIGO

VI Salão de Ferramentas - SBSeg 2022, Santa Maria

Usando Redes Neurais para Reconstruir Traços de Sessões de Usuários de Sistemas de Larga Escala

PAIM, K. O.; BELTRAN, R. D.; BRANDAO, R.; CORDEIRO, WEVERTON

XXXIX Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC), Uberlândia/MG, 2021

Innovation & Patents

DroidAugmentor

Registration: BR512025000550-4 (2024)

Training and Evaluation Tool for cGANs for Synthetic Data Generation for Android Malware Detection

Aedes Detector Lab

Registration: 000359-2 (2024)

Application for identifying Aedes aegypti mosquitoes through sound for laboratory use

FWBot

Registration: BR512023001338-2 (2022)

ChatBot for Configuring Firewalls of Multiple Technologies

ICN Stage

Registration: 003529-4 (2022)

Tool for orchestrating experimental evaluations of ICN

Contact

Email

kayua@inf.ufrgs.br

Phone

(55) 99665-1328

Location

UFRGS - Campus do Vale
Porto Alegre, RS - Brazil