PSD2022: Privacy in Statistical Databases Conservatoire National des Arts et Metiers Paris, France, September 21-23, 2022

Conference website	https://crises-deim.urv.cat/psd2022
Submission link	https://easychair.org/conferences/?conf=psd2022
Submission deadline	May 22, 2022

PRIVACY IN STATISTICAL DATABASES 2022 (PSD 2022)

Paris, France, Sep. 21-23, 2022

https://crises-deim.urv.cat/psd2022/

Submission deadline: MAY 15, 2022

1. AIMS AND GOAL

Privacy in statistical databases is about finding tradeoffs to the tension between the increasing societal and economical demand for accurate informationand the legal and ethical obligation to protect the privacy of individuals andenterprise 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 sponsored and organized by the UNESCO Chair in Data Privacy (http://unescoprivacychair.urv.cat) 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, https://unescoprivacychair.urv.cat/psd2020/), PSD 2018 (Valencia, Sep. 26-28, 2018, https://unescoprivacychair.urv.cat/psd2018/), PSD 2016 (Dubrovnik, Sep. 14-16, 2016, https://unescoprivacychair.urv.cat/psd2016/),PSD 2014 (Eivissa, Sep. 17-19, 2014, http://unescoprivacychair.urv.cat/psd2014/), PSD 2012 (Palermo, Sep. 26-28, 2012, http://unescoprivacychair.urv.cat/psd2012),PSD 2010 (Corfu, Sep. 22-24, 2010, http://unescoprivacychair.urv.cat/psd2010), PSD 2008 (Istanbul, Sep. 24-26, 2008, http://unescoprivacychair.urv.cat/psd2008), PSD 2006 (Rome, Dec. 13-15, 2006, http://crises-deim.urv.cat/psd2006) and PSD 2004 (Barcelona, June 9-11, 2004, http://crises-deim.urv.cat/psd2004),

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.

2. ORGANIZATION

PROGRAM COMMITTEE

• Bettina Berendt (Technical University of Berlin, Germany)
• Aleksandra Bujnowska (EUROSTAT, European Union)
• Jordi Castro (Universitat Politècnica de Catalunya)
• Anne-Sophie Charest (Université Laval, Québec, Canada)
• Peter Christen (Australian National University, Australia)
• Chris Clifton (Purdue University, USA)
• Graham Cormode (University of Warwick, UK)
• Peter-Paul de Wolf (Statistics Netherlands)
• Roberto Di Pietro (Hamad Bin Khalifa University, Qatar)
• Josep Domingo (Universitat Rovira i Virgili, Catalonia)
• Joerg Drechsler (IAB, Germany)
• Mark Elliot (Manchester University, UK)
• Sébastien Gambs (Université du Québec à Montréal)
• Sarah Giessing (Destatis, Germany)
• Marc Juarez (University of Southern California, USC)
• Hiroaki Kikuchi (Meiji University, Japan)
• Maryline  Laurent  (Telecom SudParis, France)
• Daniel  Le Métayer  (Inria, France)
• Bradley Malin (Vanderbilt University, USA)
• Anna Monreale (Università 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)
• Steven Ruggles (University of Minnesota, USA)
• Nicolas Ruiz (OECD, European Union)
• David Sánchez (Universitat Rovira i Virgili, Catalonia)
• 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 (Umeå University, Sweden)
• Rolando Trujillo-Rasua (Deakin University, Australia)
• Lars Vilhuber (Cornell University, USA)

PROGRAM CHAIR

• Josep Domingo-Ferrer (UNESCO Chair in Data Privacy, Universitat Rovira i Virgili, Catalonia)

GENERAL CHAIR

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

ORGANIZATION COMMITTEE

• 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)

3. 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
• 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

4. 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 ComputerScience. 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 already for their submissions.

Easychair submission link of PSD 2022: https://easychair.org/conferences/?conf=psd2022

LENGTH OF SUBMISSIONS.

Using the above format with 11 point font, 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.

5. PROCEEDINGS

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 (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.

6. IMPORTANT DATES

• Submission deadline: May 15, 2022
• 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. 14-16, 2022

7. VENUE AND TRAVEL

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

Further venue, travel and accomodation information will be posted in due courseat https://crises-deim.urv.cat/psd2022

8. REGISTRATION

Registration information will be posted no later than June 2022 at https://crises-deim.urv.cat/psd2022