fast-gradient-sign-attack

There are 0 repository under fast-gradient-sign-attack topic.

kaiyoo / ML-Anomaly-Detection
Detection of network traffic anomalies using unsupervised machine learning
anomaly-detection anomalydetection unsupervised-machine-learning clustering-algorithm iforest ocsvm oneclasssvm adversarial-machine-learning adversarial-samples fgsm fast-gradient-sign-attack fast-gradient-sign clustering network-analysis security-analytics adversarial-attacks adversarial-learning machine-learning deep-learning unsupervised-learning
Language:Jupyter Notebook 23
tarun360 / Adversarial-Attack-on-3D-U-Net-model-Brain-Tumour-Segmentation.
Adversarial Attack on 3D U-Net model: Brain Tumour Segmentation.
adversarial-attacks fgsm computer-vision segmentation brain-tumor-segmentaiton carlini-wagner-attack fast-gradient-sign-attack u-net robust robustness deep-learning convolutional-neural-networks machine-learning visualization dice-coefficient unbalanced-data brain-tumor brain-tumour enhancing
Language:Jupyter Notebook 7
abhinav-bohra / Adversarial-Machine-Learning
Adversarial Sample Generation
adversarial-attacks adversarial-examples adversarial-learning adversarial-machine-learning fast-gradient-sign-attack fgsm-attack pgd-adversarial-attacks projected-gradient-desent secure-and-private-ai dependable-ai
Language:Jupyter Notebook 2
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.
bayesian-neural-networks data-visualization deep-neural-networks fast-gradient-sign-attack pandas-dataframe pyro pytorch
Language:Python 2
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.
adversarial-attacks adversarial-machine-learning image-classification neural-networks python fgsm fast-gradient-sign-attack tensorflow keras
Language:Jupyter Notebook 2
antoninodimaggio / PyTorch-Adversarial-Examples
Adversarial attacks against CIFAR-10 and MNIST
adversarial-attacks adversarial-examples cifar-10 fast-gradient-sign-attack mnist pytorch
Language:Jupyter Notebook 1
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.
recommender-system adversarial-machine-learning aml perturbations security fgsm fast-gradient-sign-attack collaborative-filtering msap bayesian-per
Language:Python 1
sposhiy33 / AdversarialDefense
Defending Neural Networks from Adversarial Attacks
deep-learning neural-network adversarial-examples fast-gradient-sign-attack
Language:Python 0
MohammadJRanjbar / Interpretable-Artificial-Intelligence-course
Assignments and projects from the interpretable artificial intelligence course offered at the University of Tehran.
backdoor-attacks fast-gradient-sign-attack interpretable-machine-learning lime ood-detection shapely
Language:Jupyter Notebook