Membership Inference Attacks against Machine Learning Models

We quantitatively investigate how machine learning models leak information about the individual data records on which they were trained. We focus on the basic membership inference attack: given a data record and black-box access to a model, determine if the record was in the model's training da...

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Veröffentlicht in:	arXiv.org 2017-03
Hauptverfasser:	Shokri, Reza, Stronati, Marco, Song, Congzheng, Shmatikov, Vitaly
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Classification Inference Machine learning Target recognition
Online-Zugang:	Volltext
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