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ORCIDSAFE@CoNEXT 2023: Paris, France
- Kamal Singh, Abbas Bradai, Pham Tran Anh Quang, Antonio Pescapè, Claudio Fiandrino:
Proceedings of the 2023 on Explainable and Safety Bounded, Fidelitous, Machine Learning for Networking, SAFE 2023, Paris, France, 8 December 2023. ACM 2023 [contents] - Yassine Hadjadj Aoul
:
The Quest for Safe Deep Reinforcement Learning-driven Network Slicing: Progress, Pitfalls and Potential. 1 - Jan Luxemburk, Karel Hynek:
DataZoo: Streamlining Traffic Classification Experiments. 3-7 - Robin Duraz, David Espes, Julien Francq, Sandrine Vaton:
Explainability-based Metrics to Help Cyber Operators Find and Correct Misclassified Cyberattacks. 9-15 - Matteo Ruggeri, Alice Dethise, Marco Canini:
On Detecting Biased Predictions with Post-hoc Explanation Methods. 17-23 - Alfredo Nascita, Francesco Cerasuolo, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè:
Explainable Mobile Traffic Classification: the Case of Incremental Learning. 25-31
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