ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings of the 26th Annual Network and Distributed System Security Symposium (NDSS)
Publication status	Published - 2019
Externally published	Yes

Cite this

@inproceedings{47e5cb9342984646b1167dc1aa87ac07,

title = "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models",

author = "Ahmed Salem and Yang Zhang and Mathias Humbert and Pascal Berrang and Mario Fritz and Michael Backes",

year = "2019",

language = "English",

booktitle = "Proceedings of the 26th Annual Network and Distributed System Security Symposium (NDSS)",

}

TY - GEN

T1 - ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

AU - Salem, Ahmed

AU - Zhang, Yang

AU - Humbert, Mathias

AU - Berrang, Pascal

AU - Fritz, Mario

AU - Backes, Michael

PY - 2019

Y1 - 2019

M3 - Conference contribution

BT - Proceedings of the 26th Annual Network and Distributed System Security Symposium (NDSS)

ER -