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PSD 2022 : PRIVACY IN STATISTICAL DATABASES 2022

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Conference Series : Privacy in Statistical Databases
 
Link: https://unescoprivacychair.urv.cat/psd2022/
 
When Sep 14, 2022 - Sep 16, 2022
Where Paris
Submission Deadline May 15, 2022
Notification Due Jun 17, 2022
Final Version Due Jun 26, 2022
Categories    data privacy   data anonymization
 

Call For Papers

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 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 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 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 accomodation 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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