Research on Attention-Based Dynamic Differential Privacy Machine Learning Methods
This work introduces an attention-driven dynamic differential privacy mechanism that enables adaptive allocation of privacy budgets and builds a lightweight multi-head attention component that dynamically evaluates each feature’s relevance and the current phase of training, adjusting the intensity of injected noise on...