AdvBox
Adversarial example generator
A toolbox for generating adversarial examples to test the robustness of machine learning models
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.
1k stars
56 watching
265 forks
Language: Jupyter Notebook
last commit: over 2 years ago
Linked from 1 awesome list
adversarial-attacksadversarial-exampleadversarial-examplesdeep-learningdeepfoolfgsmgraphpipemachine-learningonnxpaddlepaddlesecurity
ethicalml/awesome-production-machine-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
 jind11/textfooler | A tool for generating adversarial examples to attack text classification and inference models | 496 |
 qdata/adversarialdnn-playground | An online tool allowing users to visualize and generate adversarial examples to deceive neural networks | 130 |
 tabacof/adversarial | An adversarial image optimization tool allowing users to generate images designed to deceive machine learning models | 70 |
 borealisai/advertorch | A toolbox for researching and evaluating robustness against attacks on machine learning models | 1,311 |
 chong-z/tree-ensemble-attack | An approach to create adversarial examples for tree-based ensemble models | 22 |
 utkuozbulak/adaptive-segmentation-mask-attack | An implementation of an adversarial example generation method for deep learning segmentation models. | 58 |
 lts4/deepfool | A method to create adversarial inputs for deep neural networks, designed to fool their predictions | 359 |
| utkuozbulak/pytorch-cnn-adversarial-attacks | PyTorch implementation of various Convolutional Neural Network adversarial attack techniques | 354 |
 prinsphield/adversarial_reprogramming | This project enables reprogramming of pre-trained neural networks to work on new tasks by fine-tuning them on smaller datasets. | 33 |
 thunlp/openattack | A Python toolkit for generating adversarial examples to test the robustness of natural language processing models | 699 |
 airbnb/artificial-adversary | A tool to generate adversarial text examples and test machine learning models against them | 399 |
 eric-xw/arel | This codebase provides an implementation of a novel adversarial reward learning algorithm for generating human-like visual stories from image sequences. | 136 |
 robustbench/robustbench | A standardized benchmark for measuring the robustness of machine learning models against adversarial attacks | 682 |
 paarthneekhara/rnn_adversarial_reprogramming | Repurposes pre-trained neural networks for new classification tasks through adversarial reprogramming of their inputs. | 6 |
 eth-sri/diffai | Trains neural networks to be provably robust against adversarial examples using abstract interpretation techniques. | 219 |