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  • David Garlan
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David
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Garlan
Duan, E., & Garlan, D. (2024). Adaptive Dual-Layer DDoS Mitigation using Autoencoder and Reinforcement Learning. In IEEE SEAMS.
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Sousa, B., Dias, D., Antunes, N., amara, J., Wagner, R., Schmerl, B., … Fidalgo, P. (2024). MONDEO-Tactics5G: Multistage botnet detection and tactics for 5G/6G networks. Computers & Security, 140. (Original work published 2025)
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Mendes, P., Romano, P., & Garlan, D. (2024). Hyper-parameter Tuning for Adversarially Robust Models. In AISafety 2024. Jeju, South Korea.
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Mendes, P., Romano, P., & Garlan, D. (2024). Error-Driven Uncertainty Aware Training. In 27th European Conference on Artificial Intelligence.
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Casimiro, M., Soares, D., Garlan, D., Rodrigues, L., & Romano, P. (2024). Self-Adapting Machine Learning-based Systems via a Probabilistic Model Checking Framework. ACM Transactions on Autonomous and Adaptive Systems. (Original work published 2025)
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Casimiro, M., Romano, P., Garlan, D., & Rodrigues, L. (2022). Towards a Framework for Adapting Machine Learning Components. In 2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) (p. 131—140).
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