Treant: Training Evasion-Aware Decision Trees

Despite its success and popularity, machine learning is now recognized as vulnerable to evasion attacks, i.e., carefully crafted perturbations of test inputs designed to force prediction errors. In this paper we focus on evasion attacks against decision tree ensembles, which are among the most succe...

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Hauptverfasser:	Calzavara, Stefano, Lucchese, Claudio, Tolomei, Gabriele, Abebe, Seyum Assefa, Orlando, Salvatore
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Cryptography and Security Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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