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fast-gradient-sign-attack

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kaiyoo / ML-Anomaly-Detection

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

Updated Jan 26, 2022
Jupyter Notebook

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

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

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

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

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.

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

Updated Dec 8, 2022
Python

abhinav-bohra / Adversarial-Machine-Learning

Adversarial Sample Generation

adversarial-learning adversarial-machine-learning adversarial-examples adversarial-attacks secure-and-private-ai pgd-adversarial-attacks fast-gradient-sign-attack fgsm-attack projected-gradient-desent dependable-ai

Updated May 10, 2023
Jupyter Notebook

vnlinh112 / abuse-AI

Containing several tutorials/demo about malicious uses and abuses of Artificial Intelligence used in the FIT3183 unit (Monash Malaysia, 2020).

machine-learning artificial-intelligence generative-adversarial-network adversarial-machine-learning face-synthesis motion-transfer fast-gradient-sign-attack deep-fake

Updated Aug 4, 2021
Jupyter Notebook

antoninodimaggio / PyTorch-Adversarial-Examples

Adversarial attacks against CIFAR-10 and MNIST

pytorch mnist cifar-10 adversarial-examples adversarial-attacks fast-gradient-sign-attack

Updated Jun 21, 2020
Jupyter Notebook

sposhiy33 / AdversarialDefense

Defending Neural Networks from Adversarial Attacks

deep-learning neural-network adversarial-examples fast-gradient-sign-attack

Updated Oct 15, 2021
Python

gauravshetty98 / Inference-Attack-On-Insurance-Claim-Model

This project explores the vulnerability of machine learning models to adversarial attacks and implements robust defense strategies.

data-science machine-learning torch neural-networks adversarial-attacks torchvision fast-gradient-sign-attack

Updated Dec 24, 2024
Jupyter Notebook

MohammadJRanjbar / Interpretable-Artificial-Intelligence-course

Assignments and projects from the interpretable artificial intelligence course offered at the University of Tehran.

lime shapely interpretable-machine-learning backdoor-attacks fast-gradient-sign-attack ood-detection

Updated Jul 26, 2023
Jupyter Notebook

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