A new AI theoretical framework to analyze and bound information leakage from machine learning models

ML algorithms have raised privacy and security concerns due to their application in complex and sensitive problems. Research has shown that ML models can leak sensitive information through attacks, leading to the proposal of a novel formalism to generalize and connect these attacks to memorization and generalization. Previous research has focused on data-dependent strategies to […]

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