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} }