Measuring the Privacy vs. Compatibility Trade-off in Preventing Third-Party Stateful Tracking.
Jordan Jueckstock|Peter Snyder|Shaown Sarker|Alexandros Kapravelos|Benjamin Livshits
| Anthology ID: | DBLP:conf/www/JueckstockSSKL22 |
|---|---|
| Volume: | WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022 |
| Year: | 2022 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 710-720 |
| URL: | https://doi.org/10.1145/3485447.3512231 |
| DOI: | https://doi.org/10.1145/3485447.3512231 |
| DBLP: | conf/www/JueckstockSSKL22 |
| BibTeX: |
@inproceedings{jueckstock-2022-measuring,
author = {Jordan Jueckstock and
Peter Snyder and
Shaown Sarker and
Alexandros Kapravelos and
Benjamin Livshits},
editor = {Fr\'{e}d\'{e}rique Laforest and
Rapha\"{e}l Troncy and
Elena Simperl and
Deepak Agarwal and
Aristides Gionis and
Ivan Herman and
Lionel M\'{e}dini},
title = {{Measuring the Privacy vs. Compatibility Trade-off in Preventing Third-Party Stateful Tracking}},
booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}},
pages = {710--720},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3485447.3512231},
doi = {https://doi.org/10.1145/3485447.3512231}
}