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PSD 2026 : PRIVACY IN STATISTICAL DATABASES 2026

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Link: https://crises-deim.urv.cat/psd2026
 
When Sep 30, 2026 - Oct 2, 2025
Where Cadiz, Spain
Submission Deadline May 24, 2026
Notification Due Jun 26, 2026
Final Version Due Jul 5, 2026
Categories    data protection   data privacy   synthetic data   machine learning
 

Call For Papers

PRIVACY IN STATISTICAL DATABASES 2026 (PSD 2026)
===============================================

Cádiz, Spain, Sep. 30 - Oct 2, 2026

https://crises-deim.urv.cat/psd2026/

Submission deadline: MAY 24, 2026


1. AIMS AND GOAL

Privacy in statistical databases is about finding tradeoffs to the tension between the increasing societal and economic demand for accurate information and the legal and ethical obligation to protect the privacy of individuals and enterprises which are the respondents providing the statistical data. In the case of statistical databases, the motivation for respondent privacy is one of survival: data collectors cannot expect to collect accurate information from individual or corporate respondents unless these feel the privacy of their responses is guaranteed.

Beyond respondent privacy, there are two additional privacy dimensions to be considered: privacy for the data owners (organizations owning or gathering the data, who would not like to share the data they have collected at great expense) and privacy for the users (those who submit queries to the database and would like their analyses to stay private).

"Privacy in Statistical Databases 2026" (PSD 2026) is a conference organized by the CRISES Research group (http://crises-deim.urv.cat) at Universitat Rovira i Virgili, with proceedings published by Springer-Verlag in Lecture Notes in Computer Science. The purpose of PSD 2026 is to attract world-wide, high-level research in statistical database privacy.

PSD 2026 is a successor to PSD 2024 (Antibes-Juan les Pins), PSD 2022 (Paris), PSD 2020 (online), PSD 2018 (Valencia), PSD 2016 (Dubrovnik), PSD 2014 (Eivissa), PSD 2012 (Palermo), PSD 2010 (Corfu), PSD 2008 (Istanbul), PSD 2006 (Rome) and PSD 2004 (Barcelona), all with proceedings published by Springer LNCS. Th PSD conferences follow a tradition of high-quality technical conferences on SDC which started with "Statistical Data Protection-SDP 1998" (Lisbon) and the AMRADS project SDC Workshop (Luxembourg, 2001).

Like the aforementioned preceding conferences, PSD 2026 originates in Europe, but wishes to stay a worldwide event in database privacy and SDC. Thus, contributions and attendees from overseas are welcome.


2. TOPICS OF INTEREST

Topics of interest include but are not limited to:

New anonymization methods for tabular data
New anonymization methods for microdata (including non-conventional microdata types such as trajectories, graphs, etc.)
Best anonymization practices for tabular data
Best anonymization practices for microdata
Data protection and machine learning
Mobility data anonymization
Streaming data anonymization
Decentralized anonymization
Balancing data quality and data confidentiality in SDC
Differential privacy and other privacy models
Synthetic data (with or without AI)
SDC transparency issues
Onsite access centers/Trusted research environments
Remote access facilities
SDC software
Estimating disclosure risk in SDC
Record linkage methods
Real-life disclosure scenarios in EU-member states and abroad
Privacy-preserving data mining (both cryptographic and non-cryptographic)
Privacy in healthcare
Privacy in official and corporate statistics
Other data anonymization issues


3. SUBMISSIONS

Full papers containing either original technical contributions or high-quality surveys on the above topics or on related topics are sought.

Camera-ready versions of accepted papers should be prepared using the LaTeX2estyle or the Word template of Springer Verlag Lecture Notes in Computer Science. For LaTeX2e, a macro package llncs.zip and an example file typeinst.zip can be downloaded from https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines. For Microsoft Word, a template word.zip can be downloaded from the same page above.

We encourage authors to use the above formats for their submissions.

Easychair submission link of PSD 2026: https://easychair.org/conferences/?conf=psd2026

LENGTH OF SUBMISSIONS

Using the above format, the paper should be at most 12 pages excluding bibliography and appendices, and at most 16 pages total. Committee members are not required to read appendices; the paper should be intelligible without them. Submissions not meeting these guidelines risk rejection without consideration of their merits.


4. PROCEEDINGS

Among PSD 2026 accepted papers, a selection will be made based on quality and coverage. The selected papers will be published in the Lecture Notes in Computer Science (LNCS) series by Springer. This follows the tradition of the previous PSD conferences.

The remaining accepted papers will be published with an ISBN in a USB or a protected folder. It is possible to submit a paper directly for the USB, which benefits from a later submission deadline (see USB-only dates below).

The form of publication of an accepted paper will be clearly specified in the acceptance message. Both the LNCS volume and the USB papers will be available at the conference.


5. IMPORTANT DATES

Submission deadline: May 24, 2026
Acceptance notification: June 26, 2026
Proceedings version due: July 5, 2026
USB-only submission deadline: July 5, 2026
USB-only acceptance notification: July 16, 2026
USB-only proceedings version due: July 21, 2026
Conference: Sep. 30 - Oct 2, 2026


6. VENUE AND TRAVEL

The conference will take place on the University of Cadiz premises.

More information will be posted in due course at https://crises-deim.urv.cat/psd2026/


7. REGISTRATION

Registration information will be posted no later than May 2026 at https://crises-deim.urv.cat/psd2026/


8. ORGANIZATION

PROGRAM COMMITTEE

TBD


PROGRAM CHAIR

Josep Domingo-Ferrer (Universitat Rovira i Virgili, Catalonia)

GENERAL CHAIR

Ismael González-Yero (Universidad de Cádiz, Spain)

ORGANIZATION COMMITTEE

Jesus A. Manjon (Universitat Rovira i Virgili, Catalonia)

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