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fgsm

Here are 55 public repositories matching this topic...

AdvBox

advboxes / AdvBox

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.

security machine-learning deep-learning paddlepaddle adversarial-example adversarial-examples onnx fgsm adversarial-attacks deepfool graphpipe

Updated Feb 15, 2023
Jupyter Notebook

thu-ml / ares

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

nes pca bim benchmark-framework evolutionary spsa boundary adversarial-machine-learning distillation fgsm adversarial-attacks deepfool adversarial-robustness mi-fgsm mmlda hgd

Updated Oct 15, 2023
Python

sarathknv / adversarial-examples-pytorch

Implementation of Papers on Adversarial Examples

visualization opencv deep-neural-networks deep-learning python3 pytorch adversarial-networks generative-adversarial-networks adversarial-learning adversarial-examples fgsm adversarial-attacks adversarial-images perturbations adversarial-defence adversarial-perturbations random-perturbations semantic-adversarial-examples

Updated Apr 24, 2023
Python

Mrzhouqifei / DBA

Detection by Attack: Detecting Adversarial Samples by Undercover Attack

dba bim cw adversarial-samples fgsm adversarial-detection jsma undercover-attack

Updated Feb 13, 2021
Python

wanglouis49 / pytorch-adversarial_box

PyTorch library for adversarial attack and training

pytorch adversarial-learning adversarial-example adversarial-examples fgsm

Updated Jan 16, 2019
Python

jsikyoon / adv_attack_capsnet

Tensorflow Implementation of Adversarial Attack to Capsule Networks

tensorflow adversarial-example fgsm capsule-network

Updated Nov 9, 2017
Python

as791 / Adversarial-Example-Attack-and-Defense

This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.

attack temperature defense adversarial-examples distillation fgsm adversarial-attacks pytorch-implementation adversarial-defense mi-fgsm

Updated Dec 17, 2020
Jupyter Notebook

snakers4 / msc-2018-final

python3 pytorch fgsm adversarial-attacks fgvm

Updated Jun 9, 2018
Python

edosedgar / mtcnnattack

The first real-world adversarial attack on MTCNN face detetction system to date

face-detection real-world mtcnn fgsm adversarial-attacks

Updated May 27, 2021
Python

Jeffkang-94 / pytorch-adversarial-attack

Implementation of gradient-based adversarial attack(FGSM,MI-FGSM,PGD)

pgd pytorch fgsm adversarial-attacks mi-fgsm madrylab-challenge

Updated Jul 8, 2021
Python

poloclub / jpeg-defense

SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

security deep-learning attack tensorflow paper intel dnn shield defense georgia-tech vaccination adversarial-machine-learning imagenet-dataset fgsm video-demo jpeg-compression carlini-wagner i-fgsm deepfool

Updated Mar 24, 2023
Python

AlbertMillan / adversarial-training-pytorch

Implementation of adversarial training under fast-gradient sign method (FGSM), projected gradient descent (PGD) and CW using Wide-ResNet-28-10 on cifar-10. Sample code is re-usable despite changing the model or dataset.

pgd pytorch adversarial fgsm adversarial-attacks adversarial-training

Updated May 15, 2020
Python

sisinflab / MSAP

In this work, we extend the FGSM method proposing multistep adversarial perturbation (MSAP) procedures to study the recommenders’ robustness under powerful methods. Letting fixed the perturbation magnitude, we illustrate that MSAP is much more harmful than FGSM in corrupting the recommendation performance of BPR-MF.

security collaborative-filtering recommender-system aml adversarial-machine-learning fgsm perturbations msap fast-gradient-sign-attack bayesian-per

Updated Dec 8, 2022
Python

kaiyoo / ML-Anomaly-Detection

Detection of network traffic anomalies using unsupervised machine learning

machine-learning deep-learning clustering network-analysis unsupervised-learning anomalydetection clustering-algorithm anomaly-detection adversarial-learning unsupervised-machine-learning adversarial-machine-learning adversarial-samples fgsm adversarial-attacks iforest ocsvm fast-gradient-sign oneclasssvm security-analytics fast-gradient-sign-attack

Updated Jan 26, 2022
Jupyter Notebook

mjDelta / kervolution-under-adversarial-attack-pytorch

implement Kervolutional Neural Networks (CVPR, 2019) and compare with CNN under the white box attack

kernel fgsm kervolutional-neural-networks kervolution

Updated May 20, 2019
Jupyter Notebook

messi84 / Multiple-Adversarial_Examples_attack

六代兴亡如梦，苒苒惊时月。纵使岁寒途远，此志应难夺。

adversarial-examples fgsm uea yolov3

Updated Mar 15, 2020
Python

vinuthags / adversarial_attack

Adversarial Attacks on MNIST

tensorflow cnn lbfgs fgsm deepfool

Updated Nov 8, 2022
Jupyter Notebook

tarun360 / Adversarial-Attack-on-3D-U-Net-model-Brain-Tumour-Segmentation.

Adversarial Attack on 3D U-Net model: Brain Tumour Segmentation.

visualization machine-learning computer-vision deep-learning robust segmentation convolutional-neural-networks robustness enhancing u-net fgsm adversarial-attacks unbalanced-data dice-coefficient brain-tumor brain-tumor-segmentaiton brain-tumour fast-gradient-sign-attack carlini-wagner-attack

Updated Sep 20, 2023
Jupyter Notebook

csgwon / pytorch-simple-examples

Simple example notebooks using PyTorch

deep-learning pytorch saliency-map gradient-ascent fgsm

Updated Oct 20, 2017
Jupyter Notebook

makhanov / CNN_pytorch_adversarial_attack_Fashion_MNIST

Repository consists of pre-trained CNN model in pytorch, hitting 89% on Fashion MNIST dataset. Adversarial attack was implemented on a given model. Results are below.

pytorch cnn-model adversarial-machine-learning fgsm cnn-pytorch fashion-mnist-dataset

Updated May 13, 2020
Python

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