RobustTrees
by chenhongge
[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
AI summary
Robust decision trees
An implementation of robust decision tree based models against adversarial examples using the XGBoost framework.
- stars
- 67
- forks
- 11
- watching
- 7
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Adversarial attackers
An approach to create adversarial examples for tree-based ensemble models
Decision Tree
An implementation of a binary decision tree using ActionScript 3.0 for AI bot/agent in video games.
Robustness framework
Provides a framework for computing tight certificates of adversarial robustness for randomly smoothed classifiers.
Robust Boosting Models
Provides provably robust machine learning models against adversarial attacks
Decision Tree Algorithm
This C++ project provides an implementation of decision tree algorithms for classification tasks
Adversarial benchmarking tool
A standardized benchmark for measuring the robustness of machine learning models against adversarial attacks
Decision tree library
A Python library providing a lightweight framework for building decision trees with categorical feature support
Model robustness testing
Evaluates and benchmarks the robustness of deep learning models to various corruptions and perturbations in computer vision tasks.
Decision Tree Library
An implementation of incremental decision tree algorithms and ensemble methods for efficient machine learning on streaming data
Decision Tree Algorithm
An R implementation of Hellinger distance decision tree algorithm.
Decision Tree Algorithm
An implementation of an optimal decision tree algorithm with noisy outcomes, specifically tailored to simulate real-world decision-making under uncertainty
Decision Tree Library
An implementation of decision trees for classification in Racket machine learning.
rgf-team/rgf379
Tree ensemble library
A collection of implementations and wrappers for a tree ensemble machine learning method
Decision Tree Library
A Go-based decision tree library allowing custom rule-based decision making
Decision Tree Library
Implementation of Hellinger Distance Decision Trees and Forests for binary decision problems with imbalanced data and numeric attributes.
Featured in 1 awesome list
Each link jumps to the spot where the list mentions RobustTrees.
