Inproceedings,
Verifiable Fairness: Privacy-preserving Computation of Fairness for Machine Learning Systems.
E. Toreini, M. Mehrnezhad, and A. van Moorsel.ESORICS Workshops (2), volume 14399 of Lecture Notes in Computer Science, page 569-584. Springer, (2023)
Meta data
- BibTeX key
- conf/esorics/ToreiniMM23
- entry type
- inproceedings
- booktitle
- ESORICS Workshops (2)
- year
- 2023
- pages
- 569-584
- publisher
- Springer
- series
- Lecture Notes in Computer Science
- volume
- 14399
- crossref
- conf/esorics/2023w2
- ee
- https://doi.org/10.1007/978-3-031-54129-2_34
- isbn
- 978-3-031-54129-2
- url
- http://dblp.uni-trier.de/db/conf/esorics/esorics2023w2.html#ToreiniMM23
Tags
Users
Comments and Reviewsshow / hide
Cite this publication
More citation styles
- please select -%0 Conference Paper
%1 conf/esorics/ToreiniMM23
%A Toreini, Ehsan
%A Mehrnezhad, Maryam
%A van Moorsel, Aad
%B ESORICS Workshops (2)
%D 2023
%E Katsikas, Sokratis K.
%E Abie, Habtamu
%E Ranise, Silvio
%E Verderame, Luca
%E Cambiaso, Enrico
%E Ugarelli, Rita Maria
%E Praça, Isabel
%E Li, Wenjuan
%E Meng, Weizhi
%E Furnell, Steven
%E Katt, Basel
%E Pirbhulal, Sandeep
%E Shukla, Ankur
%E Ianni, Michele
%E Preda, Mila Dalla
%E Choo, Kim-Kwang Raymond
%E Correia, Miguel Pupo
%E Abhishta, Abhishta
%E Sileno, Giovanni
%E Alishahi, Mina
%E Kalutarage, Harsha K.
%E Yanai, Naoto
%I Springer
%K dblp
%P 569-584
%T Verifiable Fairness: Privacy-preserving Computation of Fairness for Machine Learning Systems.
%U http://dblp.uni-trier.de/db/conf/esorics/esorics2023w2.html#ToreiniMM23
%V 14399
%@ 978-3-031-54129-2
@inproceedings{conf/esorics/ToreiniMM23,
added-at = {2024-04-01T00:00:00.000+0200},
author = {Toreini, Ehsan and Mehrnezhad, Maryam and van Moorsel, Aad},
biburl = {https://www.bibsonomy.org/bibtex/223b3797452783ea4c59cd67c6fe80ae1/dblp},
booktitle = {ESORICS Workshops (2)},
crossref = {conf/esorics/2023w2},
editor = {Katsikas, Sokratis K. and Abie, Habtamu and Ranise, Silvio and Verderame, Luca and Cambiaso, Enrico and Ugarelli, Rita Maria and Praça, Isabel and Li, Wenjuan and Meng, Weizhi and Furnell, Steven and Katt, Basel and Pirbhulal, Sandeep and Shukla, Ankur and Ianni, Michele and Preda, Mila Dalla and Choo, Kim-Kwang Raymond and Correia, Miguel Pupo and Abhishta, Abhishta and Sileno, Giovanni and Alishahi, Mina and Kalutarage, Harsha K. and Yanai, Naoto},
ee = {https://doi.org/10.1007/978-3-031-54129-2_34},
interhash = {9696ae1f18a9a43ab0de9abb6e8c159a},
intrahash = {23b3797452783ea4c59cd67c6fe80ae1},
isbn = {978-3-031-54129-2},
keywords = {dblp},
pages = {569-584},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2024-04-09T23:52:38.000+0200},
title = {Verifiable Fairness: Privacy-preserving Computation of Fairness for Machine Learning Systems.},
url = {http://dblp.uni-trier.de/db/conf/esorics/esorics2023w2.html#ToreiniMM23},
volume = 14399,
year = 2023
}