fgsm-attack

The Fast Gradient Sign Method (FGSM) combines a white box approach with a misclassification goal. It tricks a neural network model into making wrong predictions. We use this technique to anonymize images.

python android-application machine-learning-models adversarial-attacks pgd-adversarial-attacks fgsm-attack yolov7

Updated May 21, 2024
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Inpyo-Hong / Knowledge-distillation-vulnerability-of-DeiT-through-CNN-adversarial-attack

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"Neural Computing and Applications" Published Paper (2023)

knowledge-distillation adversarial-attacks deit fgsm-attack pgd-attack

Updated Oct 10, 2024
Python

ericyoc / adversarial-defense-hnn-poc

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A classical-quantum or hybrid neural network with adversarial defense protection

ai ml mnist-classification quantum-circuit adversarial-examples mnist-handwriting-recognition adversarial-attacks cirq adversarial-training carlini-wagner-attack emnist-digits fgsm-attack pgd-attack

Updated Sep 4, 2024
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EkagraGupta / ForschungsArbeit

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This project evaluates the robustness of image classification models against adversarial attacks using two key metrics: Adversarial Distance and CLEVER. The study employs variants of the WideResNet model, including a standard and a corruption-trained robust model, trained on the CIFAR-10 dataset. Key insights reveal that the CLEVER Score serves as

resnet-50 adversarial-attacks cleverhans pytorch-implementation cifar10-classification fgsm-attack

Updated Jun 1, 2024
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JuoTungChen / Adversarial_attacks_DCNN

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This repository contains the implementation of three adversarial example attacks including FGSM, noise, semantic attack and a defensive distillation approach to defense against the FGSM attack.

neural-network googlenet defense distillation adversarial-attacks fgsm-attack semantic-attack noise-attack

Updated Nov 8, 2022
Python

ezrc2 / adversarial-attack

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Adversarial attacks on a deep neural network trained on ImageNet

pytorch fgsm-attack

Updated May 17, 2022
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pepealessio / Adversarial-Face-Identification

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An University Project for the AI4Cybersecurity class.

art resnet-50 face-identification adversarial-machine-learning adversarial-attacks adversarial-detection pgd-adversarial-attacks adversarial-robustness-toolbox evasion-attack fgsm-attack bim-attack adversarial-faces

Updated Jun 22, 2022
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Cyb5r4Gene / Attack-Analysis-of-Face-Recognition-Authentication-Systems-Using-Fast-Gradient-Sign-Method-FGSM-

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This study was conducted in collaboration with the University of Prishtina (Kosovo) and the University of Oslo (Norway). This implementation is part of the paper entitled "Attack Analysis of Face Recognition Authentication Systems Using Fast Gradient Sign Method", published in the International Journal of Applied Artificial Intelligence by Taylo…

machine-learning authentication artificial-intelligence biometrics face-recognition transfer-learning cnn-model adversarial-attacks targeted-adversarial-attacks fgsm-attack

Updated Feb 6, 2022
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GeorgeMLP / adversarial-attacks

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Implementations for several white-box and black-box attacks.

adversarial-attacks cw-attack zoo-attack fgsm-attack pgd-attack

Updated Aug 25, 2021
Python

rojinakashefi / Trustworthy-ML

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Learning Adversarial Robustness in Machine Learning both Theory and Practice.

pytorch robustness pgd-adversarial-attacks fgsm-attack

Updated Sep 4, 2023
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Shreyasi2002 / Adversarial_Attack_Defense

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This work is based on enhancing the robustness of targeted classifier models against adversarial attacks. To achieve this, a convolutional autoencoder-based approach is employed that effectively counters adversarial perturbations introduced to the input images.

deep-neural-networks cnn classification autoencoder vgg16 defense adversarial-attacks fgsm-attack pgd-attack