Topic: "fast-gradient-sign-attack"
kaiyoo/ML-Anomaly-Detection
Detection of network traffic anomalies using unsupervised machine learning
Language: Jupyter Notebook - Size: 2.06 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 3

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 at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 3

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 at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - 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 at: 19 days ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

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 at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 4

antoninodimaggio/PyTorch-Adversarial-Examples
Adversarial attacks against CIFAR-10 and MNIST
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abhinav-bohra/Adversarial-Machine-Learning
Adversarial Sample Generation
Language: Jupyter Notebook - Size: 142 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

sposhiy33/AdversarialDefense
Defending Neural Networks from Adversarial Attacks
Language: Python - Size: 85 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
