Multiuser Privacy

Privacy is not just about what an individual user discloses about herself, it also involves what her friends may disclose about her. Multiuser privacy (also called Multiparty Privacy, Interdependent Privacy or Bystander Privacy) is concerned with information pertaining to several individuals and the conflicts that arise when the privacy preferences of these individuals differ. One typical example is a group photo, what one person does with that photo may have privacy implications for the others in the group. This problem happens across many modern technologies, including Social Media, Cloud Computing, Internet of Things / Smart Homes, etc.

We have already made several contributions to multiuser privacy, from generating empirical evidence needed to understand the problem to AI-based methods to resolve multiuser privacy conflicts that we tested with users with successful results.

See below some selected publications we contributed over the years. For recent reviews in specific domains see below (Saqib et al., 2025) (iot/smart devices) and (Such & Criado, 2018) (social media). For multiuser privacy challenges in LLMs and GenAI see (Zhan et al., 2024).

Related Projects
  • Resolving Multiparty Privacy Conflicts - RePriCo

Selected Publications

  1. TOCHI
    Bystander Privacy in Smart Homes: A Systematic Review of Concerns and Solutions
    Eimaan Saqib, Shijing He, Junghyun Choy, Ruba Abu-Salma, Jose Such, Julia Bernd, and Mobin Javed
    ACM Transactions on Computer-Human Interaction (TOCHI), 2025
  2. CACM
    Multiparty Privacy in Social Media
    Jose Such and N Criado
    Communications of the ACM (CACM), 2018
  3. CUI
    Beyond Individual Concerns: Multi-user Privacy in Large Language Models
    Xiao Zhan, William Seymour, and Jose Such
    In ACM Conversational User Interfaces (CUI), 2024
  4. CHI
    Multiuser Privacy and Security Conflicts in the Cloud
    Eman Alhelali, Kopo Ramokapane, and Jose Such
    In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), 2023
  5. AAMAS
    ELVIRA: an Explainable Agent for Value and Utility-driven Multiuser Privacy
    Francesca Mosca and Jose Such
    In International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2021
  6. TOCHI
    Sharing policies in multiuser privacy scenarios: Incorporating Context, Preferences, and Arguments in Decision Making
    R Fogues, P Murukannaiah, J Such, and M Singh
    ACM Transactions on Computer-Human Interaction (TOCHI), 2017
  7. CHI
    Photo Privacy Conflicts in Social Media: A Large-scale Empirical Study
    Jose Such, J Porter, S Preibusch, and A Joinson
    In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), 2017
  8. TKDE
    Resolving multi-party privacy conflicts in social media
    Jose Such and Natalia Criado
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2016
See more related publications in our Publications page.