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Caliber scales its extraction noise by each model's median top-two logit margin
An arXiv defense adds Gaussian noise to a served model's logits and solves for the scale that hits a chosen accuracy target, and it bounds how many repeated queries an attacker needs to average that noise away.
Publishers:arxiv.org
Reality
- Evidence44
- Adoption8
- Hype gap+12
- Incentives
- Insufficient
- Confidence42