34 citations · 60 across the 9 of their papers we have counts for
3 papers · 1 filter
Verifiable Fairness: Privacy-preserving Computation of Fairness for Machine Learning Systems
Ehsan Toreini, Maryam Mehrnezhad, Aad van Moorsel
Fair machine learning is a thriving and vibrant research topic. In this paper, we propose Fairness as a Service (FaaS), a secure, verifiable and privacy-preserving protocol to comp…
A Practical Deep Learning-Based Acoustic Side Channel Attack on Keyboards
Joshua Harrison, Ehsan Toreini, Maryam Mehrnezhad
With recent developments in deep learning, the ubiquity of micro-phones and the rise in online services via personal devices, acoustic side channel attacks present a greater threat…
Invisible, Unreadable, and Inaudible Cookie Notices: An Evaluation of Cookie Notices for Users with Visual Impairments
James M. Clarke, Maryam Mehrnezhad, Ehsan Toreini
This paper investigates the accessibility of cookie notices on websites for users with visual impairments (VI) via a set of system studies on top UK websites (n=46) and a user stud…