Ruibin Li

Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion

2025 · Proceedings of the AAAI Conference on Artificial Intelligence

Perturbation-based mechanisms, such as differential privacy, mitigate gradient leakage attacks by introducing noise into the gradients, thereby preventing attackers from reconstructing clients' private data from the leaked gradients. However, can gradient perturbation protection mechanisms truly …