activity
20172022
most cited"If You Can't Beat them, Join them": A Usability Approach to Interdependent Privacy in Cloud Apps

8 citations · 12 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CR20224 cited

CookieEnforcer: Automated Cookie Notice Analysis and Enforcement

Rishabh Khandelwal, Asmit Nayak, Hamza Harkous +1

Online websites use cookie notices to elicit consent from the users, as required by recent privacy regulations like the GDPR and the CCPA. Prior work has shown that these notices u…

cs.CL2020

Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity

Hamza Harkous, Isabel Groves, Amir Saffari

End-to-end neural data-to-text (D2T) generation has recently emerged as an alternative to pipeline-based architectures. However, it has faced challenges in generalizing to new doma…

cs.CR2018

The Privacy Policy Landscape After the GDPR

Thomas Linden, Rishabh Khandelwal, Hamza Harkous +1

The EU General Data Protection Regulation (GDPR) is one of the most demanding and comprehensive privacy regulations of all time. A year after it went into effect, we study its impa…

cs.CL2018

Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep Learning

Hamza Harkous, Kassem Fawaz, Rémi Lebret +3

Privacy policies are the primary channel through which companies inform users about their data collection and sharing practices. These policies are often long and difficult to comp…

cs.CR20178 cited

"If You Can't Beat them, Join them": A Usability Approach to Interdependent Privacy in Cloud Apps

Hamza Harkous, Karl Aberer

Cloud storage services, like Dropbox and Google Drive, have growing ecosystems of 3rd party apps that are designed to work with users' cloud files. Such apps often request full acc…