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hammaad2002 / ASRAdversarialAttacks

An ASR (Automatic Speech Recognition) adversarial attack repository.

transformers asr adversarial-machine-learning adversarial-attacks carlini-wagner huggingface pgd-adversarial-attacks transformers-library huggingface-transformer carlini-wagner-attack huggingface-transformers huggingface-library transformers-models wav2vec2 fgsm-attack pgd-attack transformers-model projected-gradient-desent

Updated Nov 7, 2023
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fanghenshaometeor / vanilla-adversarial-training

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vanilla training and adversarial training in PyTorch

deep-learning pytorch vgg cifar10 wideresnet cifar100 adversarial-training adversarial-attack vanilla-training fgsm-attack pgd-attack

Updated Feb 19, 2022
Python

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

Updated Dec 23, 2023
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SeungjaeLim / Machine_Learning_Security

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Individual Study in Computer Architecture and Systems Laboratory (CASYS) with Prof.Jaehyuk Huh in 2021 Summer

slalom tpu eyeriss fgsm-attack steal-ml deepsniffer gemmini

Updated Jan 19, 2022
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deepmancer / adversarial-attacks-robustness

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Evaluating CNN robustness against various adversarial attacks, including FGSM and PGD.

deep-learning notebook cnn pytorch robustness adversarial-attacks pgd-adversarial-attacks fgsm-attack pgd-attack targetted-attacks

Updated Aug 16, 2024
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abhinav-bohra / Adversarial-Machine-Learning

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Adversarial Sample Generation

adversarial-learning adversarial-machine-learning adversarial-examples adversarial-attacks secure-and-private-ai pgd-adversarial-attacks fast-gradient-sign-attack fgsm-attack projected-gradient-desent dependable-ai

Updated May 10, 2023
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ericyoc / adversarial-defense-cnn-poc

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A classical or convolutional neural network model with adversarial defense protection

ai ml convolutional-neural-network adversarial-examples mnist-handwriting-recognition adversarial-attacks adversarial-training white-box-attacks carlini-wagner-attack emnist-digits fgsm-attack pgd-attack

Updated Sep 4, 2024
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aaaastark / adversarial-network-attack-noise-on-mnist-dataset-pytorch

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Adversarial Network Attacks (PGD, pixel, FGSM) Noise on MNIST Images Dataset using Python (Pytorch)

python machine-learning time deep-learning numpy torch pytorch mnist mnist-dataset matplotlib adversarial-networks cv2 skimage adversarial-attacks torchvision pixel-attack fgsm-attack pgd-attack

Updated Jun 29, 2022

fiannac / NNAdversarialAttacks

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Adversarial attacks on CNN using the FSGM technique.

adversarial-attacks fgsm-attack

Updated Jul 22, 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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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

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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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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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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arushi2509 / Defense-Mechanisms-Against-Adversarial-Attacks-in-Computer-Vision-

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Developed robust image classification models to prevent the effect of adversarial attacks

cifar-10 adversarial-attacks resnet-18 gaussian-noise defense-mechanism carlini-wagner-attack fgsm-attack pgd-attack

Updated Dec 29, 2023
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ACM40960 / project-21200461

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Adversarial Attacks on Image data

deep-neural-networks computer-vision keras lbfgs adversarial-attacks deepfool tensorflow2 fgsm-attack

Updated Jul 31, 2022
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davidggz / steganalysis-adversarial-attacks

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Adversarial attacks to SRNet

deep-learning imagenet steganalysis fgsm fgsm-attack srnet

Updated May 1, 2022
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Vamsi-Dath / Adversarial-Attacks-on-Deep-Learning-Models

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Exploring the concept of "adversarial attacks" on deep learning models, specifically focusing on image classification using PyTorch. Implementing and demonstrating the Fast Gradient Sign Method (FGSM) and Projected Gradient Descent (PGD) attacks against a Convolutional Neural Network (CNN) and a Recurrent Neural Network (RNN) trained on the MNIST.

python deep-learning adversarial-attacks adversarial-training gradient-masks fgsm-attack pgd-attack

Updated Apr 27, 2025
Python

gautamHCSCV / Image-Anonymization-using-Adversarial-Attacks

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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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Here are 26 public repositories matching this topic...

hammaad2002 / ASRAdversarialAttacks

fanghenshaometeor / vanilla-adversarial-training

Shreyasi2002 / Adversarial_Attack_Defense

SeungjaeLim / Machine_Learning_Security

deepmancer / adversarial-attacks-robustness

abhinav-bohra / Adversarial-Machine-Learning

ericyoc / adversarial-defense-cnn-poc

aaaastark / adversarial-network-attack-noise-on-mnist-dataset-pytorch

fiannac / NNAdversarialAttacks

pepealessio / Adversarial-Face-Identification

JuoTungChen / Adversarial_attacks_DCNN

Cyb5r4Gene / Attack-Analysis-of-Face-Recognition-Authentication-Systems-Using-Fast-Gradient-Sign-Method-FGSM-

ezrc2 / adversarial-attack

GeorgeMLP / adversarial-attacks

rojinakashefi / Trustworthy-ML

arushi2509 / Defense-Mechanisms-Against-Adversarial-Attacks-in-Computer-Vision-

ACM40960 / project-21200461

davidggz / steganalysis-adversarial-attacks

Vamsi-Dath / Adversarial-Attacks-on-Deep-Learning-Models

gautamHCSCV / Image-Anonymization-using-Adversarial-Attacks

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