Exploiting Fairness to Enhance Sensitive Attributes Reconstruction

In recent years, a growing body of work has emerged on how to learn machine learning models under fairness constraints, often expressed with respect to some sensitive attributes. In this work, we consider the setting in which an adversary has black-box access to a target model and show that informat...

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Hauptverfasser:	Ferry, Julien, Aïvodji, Ulrich, Gambs, Sébastien, Huguet, Marie-José, Siala, Mohamed
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Cryptography and Security Computer Science - Learning
Online-Zugang:	Volltext bestellen
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