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 7 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
(ECCV2024) Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection
pytorch generator-based eccv adversarial-examples adversarial-attacks targeted-adversarial-attacks eccv2024
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Aug 28, 2024 - 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
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
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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