/treant

Primary LanguageJupyter Notebook

TRaining Evasion-Aware decisioN Trees

This repository contains the source code associated with the method proposed by Calzavara et al. in their ... research paper entitled "TREANT: Training Evasion-Aware Decision Trees" [more information available at: arXiv.org]
The name TREANT comes from the "Dungeons & Dragons" roleplaying game, where it identifies giant tree-like fictional creatures.

Goal

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Structure

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Usage

Describe how to run the pipeline...

Credit

If you use this implementation in your work, please add a reference/citation to our paper. You can use the following BibTeX entry:

@inproceedings{DBLP:conf/...,
  author    = {Stefano Calzavara and Claudio Lucchese and Gabriele Tolomei and Seyum Assefa Abebe and Salvatore Orlando},
  title     = {TREANT: Training Evasion-Aware Decision Trees},
  booktitle = {},
  pages     = {},
  year      = {},
  crossref  = {},
  url       = {},
  doi       = {},
  timestamp = {},
  biburl    = {},
  bibsource = {}
}