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Emad Elabd

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Open access Jun 2026

Effectiveness of Differential Privacy and L2 Regularisation Against Membership Inference Attacks in Deep Learning

It is demonstrated that L2 regularization provides comparable defence against membership inference attacks as DP-SGD, particularly for larger datasets, and that L2 regulation achieves precision, recall, and accuracy values within 2-4% of those achieved by DP-SGD across all experimental conditions.

Emad Elabd · 0 citations