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GitHub topics: fast-gradient-sign-attack

abhinav-bohra/Adversarial-Machine-Learning

Adversarial Sample Generation

Language: Jupyter Notebook - Size: 142 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

kaiyoo/ML-Anomaly-Detection

Detection of network traffic anomalies using unsupervised machine learning

Language: Jupyter Notebook - Size: 2.06 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 9 - Forks: 3

sisinflab/MSAP

In this work, we extend the FGSM method proposing multistep adversarial perturbation (MSAP) procedures to study the recommenders’ robustness under powerful methods. Letting fixed the perturbation magnitude, we illustrate that MSAP is much more harmful than FGSM in corrupting the recommendation performance of BPR-MF.

Language: Python - Size: 51.9 MB - Last synced: about 1 month ago - Pushed: over 1 year ago - Stars: 1 - Forks: 4

sohailahmedkhan/Adversarial-Attack-on-Fine-Tuned-Flood-Detection-Model

Implementation of FGSM (Fast Gradient Sign Method) attack on fine-tuned MobileNet architecture trained for flood detection in images.

Language: Jupyter Notebook - Size: 2.34 MB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 2 - Forks: 0

tarun360/Adversarial-Attack-on-3D-U-Net-model-Brain-Tumour-Segmentation.

Adversarial Attack on 3D U-Net model: Brain Tumour Segmentation.

Language: Jupyter Notebook - Size: 51.9 MB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 6 - Forks: 3

sposhiy33/AdversarialDefense

Defending Neural Networks from Adversarial Attacks

Language: Python - Size: 85 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

antoninodimaggio/PyTorch-Adversarial-Examples

Adversarial attacks against CIFAR-10 and MNIST

Language: Jupyter Notebook - Size: 344 KB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 1 - Forks: 0

fabian-hk/FGSM-Attack-Bayesian-Neural-Networks

Comparison of the impact the Fast Gradient Sign Attack has on a Deep Neural Networks and a Bayesian Neural Networks.

Language: Python - Size: 215 KB - Last synced: about 1 year ago - Pushed: about 4 years ago - Stars: 2 - Forks: 0