SAFE@CoNEXT

Publications

2023

Alfredo Nascita, Francesco Cerasuolo, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè
Explainable Mobile Traffic Classification: the Case of Incremental Learning. SAFE@CoNEXT (2023)
Yassine Hadjadj Aoul
The Quest for Safe Deep Reinforcement Learning-driven Network Slicing: Progress, Pitfalls and Potential. SAFE@CoNEXT (2023)
Proceedings of the 2023 on Explainable and Safety Bounded, Fidelitous, Machine Learning for Networking, SAFE 2023, Paris, France, 8 December 2023 SAFE@CoNEXT (2023)
Matteo Ruggeri, Alice Dethise, Marco Canini
On Detecting Biased Predictions with Post-hoc Explanation Methods. SAFE@CoNEXT (2023)
Robin Duraz, David Espes, Julien Francq, Sandrine Vaton
Explainability-based Metrics to Help Cyber Operators Find and Correct Misclassified Cyberattacks. SAFE@CoNEXT (2023)
Jan Luxemburk, Karel Hynek
DataZoo: Streamlining Traffic Classification Experiments. SAFE@CoNEXT (2023)