58 citations · 187 across the 15 of their papers we have counts for
15 papers
Supporting Socially Constrained Private Communications with SecureWhispers
Vinod Khandkar, Kieron Ivy Turk, Ehsan Toreini +1
Rapidly changing social norms and national, legal, and political conditions socially constrain people from discussing sensitive topics such as sexuality or religion. Such constrain…
Measuring Online Hate on 4chan using Pre-trained Deep Learning Models
Adrian Bermudez-Villalva, Maryam Mehrnezhad, Ehsan Toreini
Online hate speech can harmfully impact individuals and groups, specifically on non-moderated platforms such as 4chan where users can post anonymous content. This work focuses on a…
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…
In Private, Secure, Conversational FinBots We Trust
Magdalene Ng, Kovila P. L. Coopamootoo, Tasos Spiliotopoulos +5
In the past decade, the financial industry has experienced a technology revolution. While we witness a rapid introduction of conversational bots for financial services, there is a…