forked from privacytrustlab/ml_privacy_meter
-
Notifications
You must be signed in to change notification settings - Fork 0
/
CITATION.bib
29 lines (29 loc) · 1.29 KB
/
CITATION.bib
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
@inproceedings{ye2022enhanced,
title={Enhanced Membership Inference Attacks against Machine Learning Models},
author={Ye, Jiayuan and Maddi, Aadyaa and Murakonda, Sasi Kumar and Bindschaedler, Vincent and Shokri, Reza},
booktitle={Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security},
pages={3093--3106},
year={2022}
}
@inproceedings{nasr2018comprehensive,
title={Comprehensive privacy analysis of deep learning},
author={Nasr, Milad and Shokri, Reza and Houmansadr, Amir},
booktitle={Proceedings of the 2019 IEEE Symposium on Security and Privacy (SP)},
pages={1--15},
year={2018}
}
@inproceedings{shokri2017membership,
title={Membership inference attacks against machine learning models},
author={Shokri, Reza and Stronati, Marco and Song, Congzheng and Shmatikov, Vitaly},
booktitle={2017 IEEE symposium on security and privacy (SP)},
pages={3--18},
year={2017},
organization={IEEE}
}
@inproceedings{kumar2020mlprivacy,
author = {Sasi Kumar and Shokri, Reza},
title = {ML Privacy Meter: Aiding regulatory compliance by quantifying the privacy risks of machine learning},
year = {2020},
maintitle = {The 20th Privacy Enhancing Technologies Symposium},
booktitle = {Workshop on Hot Topics in Privacy Enhancing Technologies (HotPETs)},
}