fast-gradient-sign-attack

Star

Here are 10 public repositories matching this topic...

kaiyoo / ML-Anomaly-Detection

Star

Detection of network traffic anomalies using unsupervised machine learning

Updated Jan 26, 2022
Jupyter Notebook

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

Star

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

visualization machine-learning computer-vision deep-learning robust segmentation convolutional-neural-networks robustness enhancing u-net fgsm adversarial-attacks unbalanced-data dice-coefficient brain-tumor brain-tumor-segmentaiton brain-tumour fast-gradient-sign-attack carlini-wagner-attack

Updated Sep 20, 2023
Jupyter Notebook

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

Star

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

python tensorflow keras neural-networks image-classification adversarial-machine-learning fgsm adversarial-attacks fast-gradient-sign-attack

Updated Aug 29, 2020
Jupyter Notebook

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

Star

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

deep-neural-networks pandas-dataframe data-visualization pytorch pyro bayesian-neural-networks fast-gradient-sign-attack

Updated Mar 24, 2020
Python

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.

security collaborative-filtering recommender-system aml adversarial-machine-learning fgsm perturbations msap fast-gradient-sign-attack bayesian-per