[Om-announce] [PSD 2022] PRIVACY IN STATISTICAL DATABASES, Springer LNCS, Paris, France, Sept. 2022
Joaquin Garcia-Alfaro
joaquin.garcia_alfaro at telecom-sudparis.eu
Sun Nov 28 10:51:38 CET 2021
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PRIVACY IN STATISTICAL DATABASES 2022 (PSD 2022)
================================================
Paris, France, September 14-16, 2022
http://unescoprivacychair.urv.cat/psd2022
Submission deadline: *MAY 15, 2022*
1. AIMS AND GOAL
-----------------
Privacy in statistical databases is about finding trade-offs 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
sponsored and organized by the UNESCO Chair in Data Privacy
(http://unescoprivacychair.urv.cat) with proceedings published by
Springer in the Lecture Notes in Computer Science series. 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
- Jane Bambauer (University of Arizona, USA)
- Bettina Berendt (Technical University of Berlin, Germany)
- Aleksandra Bujnowska (EUROSTAT, European Union)
- Jordi Castro (Universitat Politecnica de Catalunya)
- Anne-Sophie Charest (Universite Laval, Quebec, 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)
- Khaled El Emam (University of Ottawa, Canada)
- Mark Elliot (Manchester University, UK)
- Sebastien Gambs (UniversitÈ du Quebec a Montreal)
- Sarah Giessing (Destatis, Germany)
- Marc Juarez (University of Southern California, USC)
- Hiroaki Kikuchi (Meiji University, Japan)
- Maryline Laurent (Telecom SudParis, France)
- Bradley Malin (Vanderbilt University, USA)
- Anna Monreale (Universit‡ 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)
- Felix Ritchie (University of the West of England)
- Steven Ruggles (University of Minnesota, USA)
- Nicolas Ruiz (OECD, European Union)
- David Sanchez (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)
- Tamir Tassa (The Open University, Israel)
- Vicenc Torra (Umea 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
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 already for their
submissions.
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 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 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 of the
Conservatoire National des Arts et Metiers (CNAM) in central Paris.
Further venue, travel and accommodation information will be posted in
due course at http://unescoprivacychair.urv.cat/psd2022
A number of travel grants are made available by the UNESCO Chair in
Data Privacy, especially for authors and delegates from transition
countries. Information on grants is posted in the conference web site.
8. REGISTRATION
---------------
Registration information will be posted no later than June 2022 at
http://unescoprivacychair.urv.cat/psd2022
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