Scalable Privacy Analysis
tearline
Submitted by Serge Egelman on Wed, 02/10/2021 - 7:32pm
tearline
Submitted by Serge Egelman on Tue, 12/15/2020 - 6:11pm
tearline
Submitted by Serge Egelman on Tue, 12/15/2020 - 6:09pm
tearline
Submitted by Serge Egelman on Tue, 12/15/2020 - 5:18pm
tearline
Submitted by Serge Egelman on Wed, 02/05/2020 - 5:48pm
biblio
Submitted by Serge Egelman on Thu, 10/10/2019 - 9:16pm
tearline
Submitted by Serge Egelman on Thu, 10/10/2019 - 9:14pm
group_project
Submitted by Serge Egelman on Thu, 08/22/2019 - 7:32pm
One major shortcoming of the current "notice and consent" privacy framework is that the constraints for data usage stated in policies--be they stated privacy practices, regulation, or laws--cannot easily be compared against the technologies that they govern. To that end, we are developing a framework to automatically compare policy against practice. Broadly, this involves identifying the relevant data usage policies and practices in a given domain, then measuring the real-world exchanges of data restricted by those rules.
