RobustTrees

Robust decision trees

An implementation of robust decision tree based models against adversarial examples using the XGBoost framework.

[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples

GitHub

67 stars
7 watching
11 forks
Language: C++
last commit: about 2 years ago
Linked from 1 awesome list

adversarial-examplesdecision-treesgbdtgbmgbrtrobust-decision-treesxgboost

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
chong-z/tree-ensemble-attack An approach to create adversarial examples for tree-based ensemble models 22
pzuh/decisiontree An implementation of a binary decision tree using ActionScript 3.0 for AI bot/agent in video games. 3
guanghelee/neurips19-certificates-of-robustness A research project that develops algorithms and tools for certifying robustness against adversarial attacks in machine learning models 17
max-andr/provably-robust-boosting Provides provably robust machine learning models against adversarial attacks 50
florentavellaneda/inferdt This C++ project provides an implementation of decision tree algorithms for classification tasks 7
robustbench/robustbench A standardized benchmark for measuring the robustness of machine learning models against adversarial attacks 672
serengil/chefboost A Python library providing a lightweight framework for building decision trees with categorical feature support 460
hendrycks/robustness Evaluates and benchmarks the robustness of deep learning models to various corruptions and perturbations in computer vision tasks. 1,026
doubleplusplus/incremental_decision_tree-cart-random_forest An implementation of incremental decision tree algorithms and ensemble methods for efficient machine learning on streaming data 100
kaurao/hddt An R implementation of Hellinger distance decision tree algorithm. 10
sjia1/odt-with-noisy-outcomes An implementation of an optimal decision tree algorithm with noisy outcomes, specifically tailored to simulate real-world decision-making under uncertainty 0
johnstonskj/rml-decisiontrees An implementation of decision trees for classification in Racket machine learning. 4
rgf-team/rgf A collection of implementations and wrappers for a tree ensemble machine learning method 378
sgrodriguez/ddt A Go-based decision tree library allowing custom rule-based decision making 37
zdanielsresearch/hellingertreesmatlab Implementation of Hellinger Distance Decision Trees and Forests for binary decision problems with imbalanced data and numeric attributes. 2