Which technique protects ML models from adversarial attacks by training with perturbed inputs?
- Adversarial Training
- Defensive Distillation
- Both A and B
- Neither
Answer: Both A and B
Adversarial training includes adversarial examples in training data; defensive distillation smooths model outputs. Both improve robustness against adversarial attacks.