DeepFool
Adversarial input generator
A method to create adversarial inputs for deep neural networks, designed to fool their predictions
A simple and accurate method to fool deep neural networks
359 stars
8 watching
130 forks
Language: Matlab
last commit: over 4 years ago Related projects:
Repository | Description | Stars |
---|---|---|
jind11/textfooler | A tool for generating adversarial examples to attack text classification and inference models | 496 |
tabacof/adversarial | An adversarial image optimization tool allowing users to generate images designed to deceive machine learning models | 70 |
lts4/universal | Tools and libraries to generate perturbations for attacking image classification models | 242 |
advboxes/advbox | A toolbox for generating adversarial examples to test the robustness of machine learning models | 1,389 |
qdata/adversarialdnn-playground | An online tool allowing users to visualize and generate adversarial examples to deceive neural networks | 130 |
dmitryulyanov/age | This repository provides code for training Generative Adversarial Networks (GANs) for various image datasets, including face generation. | 285 |
akanimax/t2f | Generates images of human faces based on textual descriptions using deep learning techniques. | 548 |
arulselvanmadhavan/mini_dalle | A deep learning-based image generation tool using OCaml and pre-trained weights | 38 |
reedscot/icml2016 | Generates synthetic images from text descriptions using a Generative Adversarial Network (GAN) | 912 |
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 |
jolibrain/joligen | An integrated framework for training custom generative AI models | 246 |
deepseek-ai/deepseek-coder-v2 | A code intelligence model designed to generate and complete code in various programming languages | 2,322 |
csailvision/gandissect | Visualizes and understands internal representations of generative adversarial networks (GANs) to analyze their behavior and improve performance. | 1,770 |
tdrussell/illustrationgan | A Generative Adversarial Networks implementation for modeling illustrations using a custom dataset of anime faces. | 269 |
fgxaos/pytorch-innvestigate | PyTorch implementation of an explainability technique for deep neural networks | 9 |