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In adversarial machine learning, property inference attack refers to an attack that infers global properties of a model's training set, such as a population trait, from the trained model's parameters. This meaning comes from Ganju (2018) in Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security.[1]
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