About
SeQureDB is a workshop dedicated to research on data privacy within data management systems. It provides a forum for exchanging ideas on privacy-preserving data processing, fostering dialogue between the database and security/cryptography communities. The workshop brings together researchers from academia, industry, and government to discuss advances in secure data management.
Call for Papers
Topics of interest include, but are not limited to:
- Secure query processing
- Differential privacy and private data analytics
- Oblivious computing and storage systems
- Secure multi-party computation (MPC) for data management
- Querying with fully homomorphic encryption (FHE)
- Private information retrieval (PIR)
- Trusted hardware (TEEs) for privacy-preserving data management
- System architectures for tunable privacy and performance
- Benchmarking and evaluation of privacy-preserving data systems
- Privacy in Retrieval-Augmented Generation (RAG)
Important Dates
- March 5, 2026 Paper Submission
- March 26, 2026 Notification
- April 2, 2026 Camera Ready
- May 31, 2026 Workshop
All deadlines are 23:59 AoE.
Submission
We accept two type of paper submissions. 1) 8-page submissions: Authors are invited to submit original, unpublished research papers. 2) 4-page submissions: Submissions may include work-in-progress, preliminary results, vision papers, or demonstrations of published systems or novel ideas that stimulate discussion in the community.
- Regular papers: up to 8 pages
- Short/demo/vision papers: up to 4 pages
Submissions must follow the 2-column ACM Primary Article Template. Page limits exclude references and appendix. Reviewing is single-anonymous. Accepted papers will be published in the ACM Digital Library. For more details, see the ACM submission guidelines. We accept submissions through CMT.
Keynote Speakers
Program Committee
- Chang Ge, University of Minnesota
- Dimitrios Papadopoulos, Hong Kong University of Science and Technology
- Dimitris Mouris, Nillion
- Elena Ferrari, University of Insubria, Varese
- Ergute Bao, Mohamed bin Zayed University of Artificial Intelligence
- Evgenios Kornaropoulos, George Mason University
- Ishtiyaque Ahmad, University of California Santa Cruz
- Jianliang Xu, Hong Kong Baptist University
- Johes Bater, Tufts University
- John Liagouris, Boston University
- Joseph Near, University of Vermont
- Keval Vora, Simon Fraser University
- Mohammad Javad Amiri, Stony Brook University
- Muhammad El-Hindi, Technische Universität München
- Shantanu Sharma, New Jersey Institute of Technology
- Shubhankar Mohapatra, University of Waterloo
- Vasiliki Kalavri, Boston University
- Yuncheng Wu, Renmin University of China
- Zsolt István, TU Darmstadt
Workshop Organizers
-
SMSujaya Maiyya, University of Waterloo
-
JRJennie Rogers, Northwestern University
-
IDIoannis Demertzis, UC Santa Cruz
CMT Acknowledgement
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.