PCDS 2024 is the 10th of a conference series started in 2015, which is dedicated to research on privacy computing and data security. The conference provides a forum for researchers, engineers and practitioners in academia, industry and the public sector around the world to report latest research work and exchange ideas in all aspects of privacy computing and data security, including those for improving the efficiency, performance, reliability, and interoperability of privacy computing and data security systems.

Following the traditions of the previous successful PriComp conferences held in Fuzhou, China (2015); Qingdao, China (2016); Melbourne, Australia (2017); Boppard, Germany (2018); Canterbury, UK (2019); Hainan, China (2020) and Xi’an, Shanghai, China (online, 2021); PriComp 2024 will be held in Momi Bay, Fiji. PriComp 2024 will focus on an evolving pathway from privacy protection to privacy computing, by serving as an international premier forum for engineers and scientists in academia, industry, and government to address the resulting profound challenges and to present and discuss their new ideas, research results, applications and experience on all aspects of privacy computing. The conference of PriComp 2024 is co-organized by Chinese Information Processing Society of China, Institute of Information Engineering, CAS, and Hainan University.

The IEEE PriComp-2024 focuses on privacy protection and privacy computing. Topics of interest include, but are not limited to the following:

    Theories and foundations for privacy computing
    Programming languages and compilers for privacy computing
    Privacy computing models
    Privacy metrics and formalization
    Privacy taxonomies and ontologies
    Privacy information management and engineering
    Privacy operation and modeling
    Data utility and privacy loss
    Cryptography for privacy protection
    Privacy protection based information hiding and sharing
    Data analytics oriented privacy control and protection
    Privacy-aware information collection
    Privacy sensing and distribution
    Combined and comprehensive privacy protection
    Privacy-preserving data publishing
    Private information storage
    Private integration and synergy
    Private information exchange and sharing
    Privacy inference and reasoning
    Internet and web privacy
    Cloud privacy
    Social media privacy
    Mobile privacy
    Location privacy
    IoT privacy
    Behavioral advertising
    Privacy in large ecosystems such as smart cities
    Privacy of AI models and systems
    AI for privacy computing
    Privacy and blockchain
    User-centric privacy protection solutions
    Human factors in privacy computing
    Privacy nudging
    Automated solutions for privacy policies and notices
    Legal issues in privacy computing and other interdisciplinary topics