VACCINE: Using Contextual Integrity For Data Leakage Detection.
Yan Shvartzshnaider|Zvonimir Pavlinovic|Ananth Balashankar|Thomas Wies|Lakshminarayanan Subramanian|Helen Nissenbaum|Prateek Mittal
| Anthology ID: | DBLP:conf/www/Shvartzshnaider19 |
|---|---|
| Volume: | The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019 |
| Year: | 2019 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1702-1712 |
| URL: | https://doi.org/10.1145/3308558.3313655 |
| DOI: | https://doi.org/10.1145/3308558.3313655 |
| DBLP: | conf/www/Shvartzshnaider19 |
| BibTeX: |
@inproceedings{shvartzshnaider-2019-vaccine,
author = {Yan Shvartzshnaider and
Zvonimir Pavlinovic and
Ananth Balashankar and
Thomas Wies and
Lakshminarayanan Subramanian and
Helen Nissenbaum and
Prateek Mittal},
editor = {Ling Liu and
Ryen W. White and
Amin Mantrach and
Fabrizio Silvestri and
Julian J. McAuley and
Ricardo Baeza-Yates and
Leila Zia},
title = {{VACCINE: Using Contextual Integrity For Data Leakage Detection}},
booktitle = {{The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019}},
pages = {1702--1712},
publisher = {ACM},
year = {2019},
url = {https://doi.org/10.1145/3308558.3313655},
doi = {https://doi.org/10.1145/3308558.3313655}
}