Introduction

PriComp 2023 is the 9th in this series of conferences started in 2015 that are devoted to algorithms and architectures for Privacy Computing. PriComp conference provides a forum for academics and practitioners from countries around the world to exchange ideas for improving the efficiency, performance, reliability, security and interoperability of Privacy Computing systems and applications.

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); Haikou, China (2022), PriComp 2023 will be held in Portsmouth, UK. PriComp 2023 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. 

Topics

Track1: Privacy Computing Foundation and Models

    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

Track2: Clound and IoT Privacy

    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