technology hard Fill in the Blank

The technique that adds calibrated noise to model outputs to prevent membership inference is called ________ Privacy.

  1. Differential
  2. MITRE ATT&CK
  3. Man
  4. Beam / Nucleus

Answer: Differential

Differential Privacy mathematically guarantees that model outputs don't reveal whether specific individuals were in training data. Critical for privacy-preserving ML deployment.

Topic AI/ML Security
Exam Relevance Banking, UPSC, SSC
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