The technique that protects ML models by adding calibrated noise to outputs to prevent inference attacks is called ________ Privacy.
- Nature-based / Biological
- margin
- Differential
- Account Aggregator
Answer: Differential
Differential Privacy adds mathematical noise to model outputs, providing provable privacy guarantees against membership inference and model inversion attacks.