Beyond Robustness: Resilience Verification of Tree-Based Classifiers

In this paper we criticize the robustness measure traditionally employed to assess the performance of machine learning models deployed in adversarial settings. To mitigate the limitations of robustness, we introduce a new measure called resilience and we focus on its verification. In particular, we...

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Veröffentlicht in:	arXiv.org 2021-12
Hauptverfasser:	Calzavara, Stefano, Cazzaro, Lorenzo, Lucchese, Claudio, Marcuzzi, Federico, Orlando, Salvatore
Format:	Artikel
Sprache:	eng
Schlagworte:	Data analysis Decision analysis Decision trees Machine learning Resilience Robustness Stability analysis Verification
Online-Zugang:	Volltext
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