The extension of "Patch-wise Attack for Fooling Deep Neural Network (ECCV2020)", and we aim to boost the success rates of targeted attack.
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Mar 14, 2022 - Python
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targeted-adversarial-attacks
Here are 6 public repositories matching this topic...
PyTorch implementation of Targeted Adversarial Perturbations for Monocular Depth Predictions (in NeurIPS 2020)
machine-learning
computer-vision
pytorch
3d-reconstruction
3d-vision
adversarial-machine-learning
adversarial-examples
adversarial-attacks
monocular-depth
adversarial-perturbations
monocular-depth-estimation
neurips
adversarial-robustness
targeted-adversarial-attacks
neurips-2020
monocular-depth-predictions
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Nov 15, 2022 - HTML
Attack models that are pretrained on ImageNet. (1) Attack single model or multiple models. (2) Apply white-box attacks or black-box attacks. (3) Apply non-targeted attacks or targeted attacks.
imagenet
adversarial-attacks
black-box-attacks
white-box-attacks
targeted-adversarial-attacks
non-targeted-adversarial-attacks
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Feb 13, 2020 - Python
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
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Feb 6, 2022 - Jupyter Notebook
A Python sample for demonstrating Targeted Adversarial Attack - manipulate a source image to be classified as a specified target class by the machine learning classifier
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Nov 29, 2020 - Python
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Sep 14, 2023 - Jupyter Notebook
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