How to combine membership-inference attacks on multiple updated models

M Jagielski, S Wu, A Oprea, J Ullman… - arXiv preprint arXiv …, 2022 - arxiv.org
A large body of research has shown that machine learning models are vulnerable to
membership inference (MI) attacks that violate the privacy of the participants in the training …
被引用次数：8 相关文章

How to Combine Membership-Inference Attacks on Multiple Updated Models

M Jagielski, S Wu, A Oprea, J Ullman… - arXiv e …, 2022 - ui.adsabs.harvard.edu
A large body of research has shown that machine learning models are vulnerable to
membership inference (MI) attacks that violate the privacy of the participants in the training …
[PDF] academia.edu

[PDF][PDF] How to Combine Membership-Inference Attacks on Multiple Updated Models

M Jagielski, S Wu, A Oprea, J Ullman… - arXiv preprint arXiv …, 2022 - academia.edu
A large body of research has shown that machine learning models are vulnerable to
membership inference (MI) attacks that violate the privacy of the participants in the training …