Pytorch implementation of convolutional neural network adversarial attack techniques
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Updated
Dec 3, 2018 - Python
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fast-gradient-sign
Here are 5 public repositories matching this topic...
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
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Updated
Jan 26, 2022 - Jupyter Notebook
This project focusses on creating an attacker against Deep Neural Networks making them misclassify an image. This is done to evaluate to robustness of the model.
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Updated
Mar 15, 2018 - Jupyter Notebook
Adversarial attack on a CNN
jupyter-notebook
python3
pytorch
mnist
convolutional-neural-networks
adversarial-machine-learning
adversarial-attacks
fast-gradient-sign
colaboratory
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Updated
Dec 22, 2018 - Jupyter Notebook
Generate adversarial examples using Fast Gradient Sign Method (FGSM)
neural-network
tensorflow
numpy
matplotlib
inceptionv3
adversarial-attacks
fast-gradient-sign
mobilenetv2
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Updated
Mar 11, 2023 - Jupyter Notebook
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