The technique that adds calibrated noise to model gradients during training to provide privacy guarantees is called ________-SGD.
- Ethical / CEH
- Differential Privacy / DP
- e-Filing Portal
- Forum / Index
Answer: Differential Privacy / DP
DP-SGD adds noise to gradients during training, providing mathematical privacy guarantees. Critical for training ML models on sensitive data while preventing membership inference.