Data Integration and Privacy Systems Lab

dips-lab-l.png
DAIS Group University of Southampton

Building 32,

University Rd

Southampton SO17 1TR

The Data Integration and Privacy Systems (DIPS) Lab is a cutting-edge research group at the University of Southampton, focusing on developing innovative solutions for secure data sharing, privacy-preserving integration, and intelligent policy management systems.

Our interdisciplinary team works on challenging problems at the intersection of data integration, privacy systems, automated negotiation, and trust management. We develop practical tools and theoretical frameworks that enable secure, efficient, and trustworthy data sharing across organizations.

The DIPS lab is part of the Data, Intelligence and Society (DAIS) research group of the School of Electronics and Computer Science. DAIS is working on the intersection of Web, Data, AI and Society.

news

May 16, 2026 Our paper “Enforcing Trust Accountability with Backward Propagation” by Wenbo Wu and George Konstantinidis has been accepted at KDD 2026 :tada:
Jan 04, 2026 Our paper “A Game Theory Approach for Negotiating in Data Marketplaces” by Soulmaz Gheisari, Jaime Osvaldo Salas, Luis-Daniel Ibáñez and George Konstantinidis has been accepted at ACM SIGMOD/PODS 2026 :tada:
Dec 08, 2025 Our paper “Compliance as a Trust Metric” by Wenbo Wu and George Konstantinidis has been accepted at Financial Cryptography and Data Security (FC) 2026 :tada:

selected publications

  1. KDD
    Enforcing Trust Accountability with Backward Propagation
    Wenbo Wu and George Konstantinidis
    In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026), 2026
    To appear
  2. SIGMOD
    A Game Theory Approach for Negotiating in Data Marketplaces
    Soulmaz Gheisari, Jaime Osvaldo Salas, Luis-Daniel Ibáñez, and 1 more author
    Proceedings of the ACM on Management of Data, Apr 2026
  3. ICDT
    Bag Containment of Join-on-Free Queries
    George Konstantinidis and Fabio Mogavero
    In Proceedings of the 28th International Conference on Database Theory (ICDT 2025), 2025
  4. SIGMOD Rec.
    Graph Theory for Consent Management: A New Approach for Complex Data Flows
    Dorota Filipczuk, Enrico H. Gerding, and George Konstantinidis
    ACM SIGMOD Record, 2024
  5. EDBT
    Consent Management in Data Workflows: A Graph Problem
    Dorota Filipczuk, Enrico H. Gerding, and George Konstantinidis
    In Proceedings of the 26th International Conference on Extending Database Technology (EDBT 2023), 2023