Producción académica y artefactos de investigación.

2026 · BRACIS 2025 · Springer LNCS

Training and Test Machine Learning Models on Encrypted Data: Initial Results and Challenges

Rodrigo Kruger, Jean Paul Barddal, Vinícius Mourão Alves de Souza

Este artículo estudia aprendizaje automático sobre datos cifrados usando el esquema de criptografía homomórfica CKKS, evaluando adaptaciones de clasificadores en conjuntos médicos y analizando los compromisos entre privacidad, tasas de error y tiempo de procesamiento.

Kruger, R., Barddal, J. P., & Souza, V. M. A. (2026). Training and Test Machine Learning Models on Encrypted Data: Initial Results and Challenges. In Intelligent Systems (BRACIS 2025), Lecture Notes in Computer Science, vol. 16180. Springer, Cham. https://doi.org/10.1007/978-3-032-15984-7_38

@inproceedings{kruger2026encryptedml,
  title={Training and Test Machine Learning Models on Encrypted Data: Initial Results and Challenges},
  author={Kruger, Rodrigo and Barddal, Jean Paul and Souza, Vinícius Mourão Alves de},
  booktitle={Lecture Notes in Computer Science},
  volume={16180},
  pages={562--577},
  year={2026},
  doi={10.1007/978-3-032-15984-7_38}
}

2024 · 2024 International Joint Conference on Neural Networks (IJCNN)

Peak Prediction in Time Series: Comparing Approaches for Energy High-Load Prediction

Rodrigo Kruger, Abdullah Mueen, Vinícius Mourão Alves de Souza

Este artículo de conferencia compara enfoques para predecir picos en series temporales de carga energética, con foco en la predicción de alta carga como problema de pronóstico temporal.

@inproceedings{kruger2024peakprediction,
  title={Peak Prediction in Time Series: Comparing Approaches for Energy High-Load Prediction},
  author={Kruger, Rodrigo and Mueen, Abdullah and Souza, Vinícius Mourão Alves de},
  booktitle={2024 International Joint Conference on Neural Networks (IJCNN)},
  year={2024},
  doi={10.1109/IJCNN60899.2024.10651140}
}