#machine learning
Mar 2026
Bayesian Adversarial Privacy
This work introduces a novel quantitative notion of privacy that is both contextual and specific, and relies on concepts inherent to standard Bayesian decision theory, while departing from them in several important respects.
Cameron Bell, Timothy Johnston, A. Luciano et al.
· arXiv.org · 0 citations