Privacy and Security in Distributed Data Markets

SIGMOD 2025 Tutorial

Organizers

• DANIEL ALABI, University of Illinois Urbana-Champaign, U.S.A.
• SAINYAM GALHOTRA, Cornell University, U.S.A.
• SHAGUFTA MEHNAZ, The Pennsylvania State University, U.S.A.
• ZEYU SONG, The Pennsylvania State University, U.S.A.
• EUGENE WU, Columbia University, U.S.A.

Abstract

Data markets play a pivotal role in modern industries by facilitating the exchange of data for predictive modeling, targeted marketing, and research. However, as data becomes a valuable commodity, privacy and security concerns have grown, particularly regarding the personal information of individuals. This tutorial explores privacy and security issues when integrating different data sources in data market platforms. As motivation for the importance of enforcing privacy requirements, we discuss attacks on data markets focusing on membership inference and reconstruction attacks. We also discuss security vulnerabilities in decentralized data marketplaces, including adversarial manipulations by buyers or sellers. We provide an overview of privacy and security mechanisms designed to mitigate these risks. In order to enforce the least amount of trust for buyers and sellers, we focus on distributed protocols. Finally, we conclude with opportunities for future research on understanding and mitigating privacy and security concerns in distributed data markets.

Schedule

Part I: Survey on Data Markets

Part II: Privacy and Security Risks

Part III: Privacy-Preserving Technologies and Security Tools

Part IV: Regulatory Considerations

Part V: Open Problems & Future Work

Part VI: Q & A

BibTeX

@inproceedings{AGMSW25,
  author       = {Daniel Alabi and
                  Sainyam Galhotra and
                  Shagufta Mehnaz and
                  Zeyu Song and
                  Eugene Wu},
  title        = {Privacy and Security in Distributed Data Markets},
  booktitle    = {Companion of the 2025 International Conference on Management of Data,
                  {SIGMOD/PODS} 2025, Berlin, Germany, June 22-27, 2025},
  publisher    = { {ACM} },
  year         = {2025}
}