deepfool
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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.
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Feb 15, 2023 - Jupyter Notebook
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
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Oct 15, 2023 - Python
SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
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Mar 24, 2023 - Python
Reproduce multiple adversarial attack methods
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May 5, 2020 - Python
Based on Pytorch, the Adversarial Attack algorithm DeepFool, targeting the Mnist data set and ResNet18 network
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Jul 28, 2020 - Jupyter Notebook
Adversarial attack generation techniques for CIFAR10 based on Pytorch: L-BFGS, FGSM, I-FGSM, MI-FGSM, DeepFool, C&W, JSMA, ONE-PIXEL, UPSET
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Sep 13, 2025 - Python
PyTorch implementation of DeepFool adversarial attack.
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Apr 17, 2020 - Jupyter Notebook
Official implementation of the paper: "REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions", IEEE WACV, 2022
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Nov 25, 2021 - Jupyter Notebook
A Tensorflow adversarial machine learning attack toolkit to add perturbations and cause image recognition models to misclassify an image
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Aug 31, 2023 - Python
This repository implements deep learning models (CNNs, RNNs, and CRNNs) for classifying environmental sounds using spectral features like MFCCs and Mel spectrograms. It includes data preprocessing, model training, and evaluation, optimized for datasets like UrbanSound8K.
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Dec 3, 2024 - Jupyter Notebook
Adversarial Attacks on Image data
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Jul 31, 2022 - Jupyter Notebook
"Security Evaluation of a Face Recognition System": Final project for the AI for Cybersecurity course. This repository explores the robustness of deep learning image classifiers against adversarial attacks and evaluating common defense strategies.
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May 29, 2025 - Jupyter Notebook
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