GitHub topics: gradient-regularization
najeh-halawani/Improving-Generalization-Deepfake-Detectors
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.
Language: Jupyter Notebook - Size: 111 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0
CGCL-codes/TransferAttackSurrogates
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.
Language: Python - Size: 147 KB - Last synced at: 8 months ago - Pushed at: 10 months ago - Stars: 14 - Forks: 3
cfinlay/tulip
Scaleable input gradient regularization
Language: Python - Size: 35.2 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 20 - Forks: 4
