posted by organizer: txusma || 3245 views || tracked by 1 users: [display]



Conference Series : Privacy in Statistical Databases
When Sep 21, 2022 - Sep 23, 2022
Where Paris
Submission Deadline May 22, 2022
Notification Due Jun 17, 2022
Final Version Due Jun 26, 2022
Categories    data privacy   data anonymization

Call For Papers


Paris, France, September 21-23, 2022 (ATTENTION: conference dates shifted by a week)

Submission deadline (EXTENDED): *MAY 22, 2022* (hard deadline)


Privacy in statistical databases is about finding tradeoffs to the tension
between the increasing societal and economical demand for accurate information
and the legal and ethical obligation to protect the privacy of individuals and
enterprise 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 2022" (PSD 2022) is a conference with proceedings
published by Springer-Verlag in Lecture Notes in Computer Science. The purpose
of PSD 2022 is to
attract world-wide, high-level research in statistical database privacy.

PSD 2022 is a successor to

PSD 2020 (online, Sep. 23-25, 2020,,
PSD 2018 (Valencia, Sep. 26-28, 2018,,
PSD 2016 (Dubrovnik, Sep. 14-16, 2016,,
PSD 2014 (Eivissa, Sep. 17-19, 2014,,
PSD 2012 (Palermo, Sep. 26-28, 2012,,
PSD 2010 (Corfu, Sep. 22-24, 2010,,
PSD 2008 (Istanbul, Sep. 24-26, 2008,,
PSD 2006 (Rome, Dec. 13-15, 2006,
and PSD 2004 (Barcelona, June 9-11, 2004,,

all with proceedings published by Springer in LNCS 12276, LNCS 11126, LNCS 9867, LNCS 8744,
LNCS 7556, LNCS 6344, LNCS 5262, LNCS 4302 and LNCS 3050, respectively. Those
ten PSD conferences follow a tradition of high-quality technical conferences on SDC which
started with "Statistical Data Protection-SDP'98", held in Lisbon in 1998 and with
proceedings published by OPOCE, and continued with the AMRADS project SDC Workshop,
held in Luxemburg in 2001 and with proceedings published in Springer LNCS 2316.

Like the aforementioned preceding conferences, PSD 2022 originates in Europe, but wishes
to stay a worldwide event in database privacy and SDC. Thus, contributions and attendees
from overseas are welcome.



- Jane Bambauer (University of Arizona, USA)
- Bettina Berendt (Technical University of Berlin, Germany)
- Aleksandra Bujnowska (EUROSTAT, European Union)
- Jordi Castro (Polytechnical University of Catalonia)
- Anne-Sophie Charest (Universite Laval, Quebec, Canada)
- Peter Christen (Australian National University, Australia)
- Christopher Clifton (Purdue University, USA)
- Graham Cormode (University of Warwick, UK)
- Roberto DiPietro (Hamad Bin Khalifa University, Qatar)
- Josep Domingo-Ferrer (Universitat Rovira i Virgili, Catalonia)
- Joerg Drechsler (IAB, Germany)
- Khaled El Emam (University of Ottawa, Canada)
- Mark Elliot (Manchester University, UK)
- Sebastien Gambs (Universite du Quebec a Montreal)
- Sarah Giessing (Destatis, Germany)
- Marc Juarez (University of Southern California, USC)
- Hiroaki Kikuchi (Meiji University, Japan)
- Maryline Laurent (Telecom SudParis-Institut Polytechnique de Paris, France)
- Bradley Malin (Vanderbilt University, USA)
- Anna Monreale (Universita di Pisa, Italy)
- Krish Muralidhar (The University of Oklahoma, USA)
- David Naccache (Ecole Normale Superieure, France)
- Benjamin Nguyen (INSA Centre Val de Loire, France)
- Anna Oganyan (National Center for Health Statistics, USA)
- Melek Onen (Eurecom, France)
- Constantinos Patsakis (University of Piraeus, Greece)
- Jerry Reiter (Duke University, USA)
- Yosef Rinott (Hebrew University, Israel)
- Salvatore Ruggieri (Universita di Pisa, Italy)
- Steven Ruggles (University of Minnesota, USA)
- Nicolas Ruiz (OECD)
- Pierangela Samarati (University of Milan, Italy)
- David Sanchez (Universitat Rovira i Virgili, Catalonia)
- Monica Scannapieco (ISTAT, Italy)
- Eric Schulte Nordholt (Statistics Netherlands)
- Natalie Shlomo (University of Manchester, UK)
- Aleksandra Slavkovic (Penn State University, USA)
- Jordi Soria-Comas (Catalan Data Protection Authority, Catalonia)
- Tamir Tassa (The Open University, Israel)
- Vicenc Torra (Umea University, Sweden)
- Rolando Trujillo-Rasua (Deakin University, Australia)
- Lars Vilhuber (Cornell University, USA)
- Peter-Paul de Wolf (Statistics Netherlands)


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


- Maryline Laurent (Telecom SudParis-Institut Polytechnique de Paris, France)


- Samia Bouzefrane (CNAM, France)
- Joaquin Garcia-Alfaro (Telecom SudParis-Institut Polytechnique de Paris, France)
- Miriam Guillem (Universitat Rovira i Virgili, Catalonia)
- Jesus Manjon (Universitat Rovira i Virgili, Catalonia)


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
- Co-utility for privacy preservation
- Big data anonymization
- Streaming data anonymization
- Decentralized anonymization
- Balancing data quality and data confidentiality in SDC
- Differential privacy and other privacy models
- SDC transparency issues
- Onsite access centers
- 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)
- Private information retrieval
- Privacy in web-based e-commerce
- Privacy in healthcare
- Privacy in official and corporate statistics
- Other data anonymization issues


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 and an example file can be downloaded from
For Microsoft Word, a template can be downloaded from the same page above.

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


Among PSD 2022 accepted papers, a selection will be made based on quality and coverage and 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 in a USB with an ISBN. It is possible
to submit a paper directly for the USB, which benefits from a later submission
deadline and no copyright transfer (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 will be *available at the conference*.


Submission deadline (EXTENDED): *MAY 22, 2022* (hard deadline)
Acceptance notification: June 17, 2022
Proceedings version due: June 26, 2022

USB-only submission deadline: June 26, 2022
USB-only acceptance notification: July 6, 2022
USB-only proceedings version due: July 13, 2022

Conference: Sep. 21-23, 2022


The conference will take place at the headquarters of
the Conservatoire National des Arts et Metiers (CNAM) in central Paris.

Further venue, travel and accomodation information will be posted in due course


Registration information will be posted no later than June 2022 at

Related Resources

PSD 2024   Privacy in Statistical Databases 2024
Security 2025   Special Issue on Recent Advances in Security, Privacy, and Trust
ECML-PKDD 2024   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
CEVVE 2024   2024 2nd International Conference on Electric Vehicle and Vehicle Engineering (CEVVE 2024)
S&P 2025   The 45th IEEE Symposium on Security and Privacy
SSDBM 2024   36th International Conference on Scientific and Statistical Database Management
Applied Sciences (MDPI) SI:Cybersecurity 2024   Applied Sciences (MDPI) Special Issue - Cybersecurity: Advances in Security and Privacy Enhancing Technology
DRIJ 2024   Dental Research: An International Journal
DSIT 2024   7th International Conference on Data Science and Information Technology
TrustCom 2024   The 23rd IEEE International Conference on Trust, Security and Privacy in Computing and Communications