adversarial
Adversarial generator
An adversarial image optimization tool allowing users to generate images designed to deceive machine learning models
Exploring the Space of Adversarial Images
69 stars
10 watching
19 forks
Language: FORTRAN
last commit: over 8 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 jind11/textfooler | A tool for generating adversarial examples to attack text classification and inference models | 494 |
 qdata/adversarialdnn-playground | An online tool allowing users to visualize and generate adversarial examples to deceive neural networks | 130 |
 advboxes/advbox | A toolbox for generating adversarial examples to test the robustness of machine learning models | 1,388 |
 lts4/deepfool | A method to create adversarial inputs for deep neural networks, designed to fool their predictions | 357 |
 akanimax/t2f | Generates images of human faces based on textual descriptions using deep learning techniques. | 548 |
 tdrussell/illustrationgan | A Generative Adversarial Networks implementation for modeling illustrations using a custom dataset of anime faces. | 269 |
 reedscot/icml2016 | Generates synthetic images from text descriptions using a Generative Adversarial Network (GAN) | 913 |
 taoxugit/attngan | Reproduces text-to-image generation with attentional generative adversarial networks. | 1,339 |
 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 |
 aboev/arae-tf | Automates generation of discrete sequence text using adversarially regularized autoencoders | 20 |
 jamespark3922/adv-inf | A method for generating and evaluating video captions using adversarial inference, trained on large datasets of text and multimedia features. | 34 |
 ai-secure/dba | A tool for demonstrating and analyzing attacks on federated learning systems by introducing backdoors into distributed machine learning models. | 177 |
| akanimax/pro_gan_pytorch | Implementation of a deep learning model for generating high-quality images with improved stability and variation. | 536 |
 borealisai/advertorch | A toolbox for researching and evaluating robustness against attacks on machine learning models | 1,308 |
 utkuozbulak/adaptive-segmentation-mask-attack | An implementation of an adversarial example generation method for deep learning segmentation models. | 57 |