gradient-regularization

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cfinlay / tulip

Scaleable input gradient regularization

computer-vision deep-learning regularization adversarial-learning adversarial-machine-learning adversarial-examples gradient-regularization input-gradient-regularization

Updated Jul 8, 2019
Python

CGCL-codes / TransferAttackSurrogates

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The official code of IEEE S&P 2024 paper "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability". We study how to train surrogates model for boosting transfer attack.

data-augmentation adversarial-attacks adversarial-training gradient-regularization black-box-attack transfer-attack sharpness-aware-minimization distribution-shift

Updated Aug 22, 2024
Python

najeh-halawani / Improving-Robustness-Deepfake-Detectors

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An implementation of a deepfake detection model that uses gradient regularization to improve robustness against adversarial attacks. This approach perturbs the mean and standard deviation of shallow layers in an EfficientNetB0 backbone to enhance generalization and defend against attacks like FGSM and PGD.

deepfake regularization-methods gradient-regularization deepfake-detection deepfakes-classification

Updated Jun 19, 2025
Jupyter Notebook

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