197 citations · 225 across the 6 of their papers we have counts for
10 papers
A Decade of Privacy-Relevant Android App Reviews: Large Scale Trends
Omer Akgul, Sai Teja Peddinti, Nina Taft +4
We present an analysis of 12 million instances of privacy-relevant reviews publicly visible on the Google Play Store that span a 10 year period. By leveraging state of the art NLP…
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…
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…
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…
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…
Taxonomy Induction using Hypernym Subsequences
Amit Gupta, Rémi Lebret, Hamza Harkous +1
We propose a novel, semi-supervised approach towards domain taxonomy induction from an input vocabulary of seed terms. Unlike all previous approaches, which typically extract direc…
280 Birds with One Stone: Inducing Multilingual Taxonomies from Wikipedia using Character-level Classification
Amit Gupta, Rémi Lebret, Hamza Harkous +1
We propose a simple, yet effective, approach towards inducing multilingual taxonomies from Wikipedia. Given an English taxonomy, our approach leverages the interlanguage links of W…
"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…
The Curious Case of the PDF Converter that Likes Mozart: Dissecting and Mitigating the Privacy Risk of Personal Cloud Apps
Hamza Harkous, Rameez Rahman, Bojan Karlas +1
Third party apps that work on top of personal cloud services such as Google Drive and Dropbox, require access to the user's data in order to provide some functionality. Through det…
Scalable and Secure Aggregation in Distributed Networks
Sebastien Gambs, Rachid Guerraoui, Hamza Harkous +2
We consider the problem of computing an aggregation function in a \emph{secure} and \emph{scalable} way. Whereas previous distributed solutions with similar security guarantees hav…