Artificial Intelligence · AI Ethics, Policy & Society
A topic within AI Ethics, Policy & Society, itself one of 10 topics in that field and part of Artificial Intelligence.
2 works
Dwork & Roth
Builds differential privacy up from first principles as a mathematically precise guarantee — bounding what an attacker can learn about any one individual from a query's output — and derives the mechanisms and composition rules that make it usable in practice.
281 pageslink checked 17 Sept 2026Shokri, Stronati, Song & Shmatikov
Shows an attacker who can only query a trained model's outputs can often determine whether a specific record was in its training set at all, exposing a privacy leak that exists even when the training data itself is never released.
16 pageslink checked 17 Sept 2026