Important Dates

Workshop Proposal

July 15, 2022

Paper Submission

September 01, 2022
September 20, 2022

Author Notification

October 15, 2022
October 24, 2022

Camera-Ready Submission

November 09, 2022
November 14, 2022

Conference Date

December 15-18, 2022

Sponsored and supported by

Call For Papers

Download CFP: PDF

PriComp 2022 is the 8th 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); PriComp 2022 will be held in Haikou, China. PriComp 2022 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 2022 is co-organized by Chinese Information Processing Society of China, Institute of Information Engineering, CAS, and Hainan University.

The IEEE PriComp-2022 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



IEEE Ethics Reporting

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