2024/04/20 by Dave Kleidermacher, Emmanuel M Arriaga, Kleidermacher, Dave +7
Social Sciences · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy, Security, and Data Protection
paper · pdf · doi:10.48550/arxiv.2404.13220
openalex publication_date 2024/04/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this paper, we explore the challenges of ensuring security and privacy for users from diverse demographic backgrounds. We propose a threat modeling approach to identify potential risks and countermeasures for product inclusion in security and privacy. We discuss various factors that can affect a user's ability to achieve a high level of security and privacy, including low-income demographics, poor connectivity, shared device usage, ML fairness, etc. We present results from a global security and privacy user experience survey and discuss the implications for product developers. Our work highlights the need for a more inclusive approach to security and privacy and provides a framework for researchers and practitioners to consider when designing products and services for a diverse range of users.