tree-ensemble-attack
Adversarial attackers
An approach to create adversarial examples for tree-based ensemble models
[NeurIPS 2020] Code for "An Efficient Adversarial Attack for Tree Ensembles"
22 stars
0 watching
7 forks
Language: C++
last commit: over 3 years ago
Linked from 1 awesome list
adversarial-attacksdecision-treestree-ensemblesxgboost-models
Related projects:
Repository | Description | Stars |
---|---|---|
jind11/textfooler | A tool for generating adversarial examples to attack text classification and inference models | 495 |
utkuozbulak/adaptive-segmentation-mask-attack | An implementation of an adversarial example generation method for deep learning segmentation models. | 57 |
yunqing-me/attackvlm | An adversarial attack framework on large vision-language models | 163 |
chenhongge/robusttrees | An implementation of robust decision tree based models against adversarial examples using the XGBoost framework. | 67 |
advboxes/advbox | A toolbox for generating adversarial examples to test the robustness of machine learning models | 1,388 |
florentavellaneda/inferdt | This C++ project provides an implementation of decision tree algorithms for classification tasks | 7 |
utkuozbulak/pytorch-cnn-adversarial-attacks | PyTorch implementation of various Convolutional Neural Network adversarial attack techniques | 354 |
max-andr/provably-robust-boosting | Provides provably robust machine learning models against adversarial attacks | 50 |
eliavw/mercs-v5 | An implementation of a multi-directional ensemble learning method for classification and regression tasks using decision trees | 4 |
sergiomarotco/azure-devops-server-supply-chain-attack-tree | An attack tree model for identifying potential security vulnerabilities in an Azure DevOps Server supply chain. | 7 |
zfancy/sfat | Combating heterogeneity in federated learning by combining adversarial training with client-wise slack during aggregation | 28 |
xiyanghu/osdt | A Python implementation of an algorithm for constructing decision trees with regularization and various bounding functions to accelerate the search process. | 100 |
serengil/chefboost | A Python library providing a lightweight framework for building decision trees with categorical feature support | 460 |
xiaolonw/adversarial-frcnn | A Caffe-based implementation of A-Fast-RCNN, a method for object detection using adversarial networks. | 482 |
qdata/adversarialdnn-playground | An online tool allowing users to visualize and generate adversarial examples to deceive neural networks | 130 |