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PSD 2020 : PRIVACY IN STATISTICAL DATABASES 2020

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Conference Series : Privacy in Statistical Databases
 
Link: https://unescoprivacychair.urv.cat/psd2020/
 
When Sep 23, 2020 - Sep 25, 2020
Where Tarragona, Catalonia
Submission Deadline Jun 1, 2020
Notification Due Jun 26, 2020
Final Version Due Jul 5, 2020
Categories    privacy   data privacy   data anonymization   statistical disclosure control
 

Call For Papers

PRIVACY IN STATISTICAL DATABASES 2020 (PSD 2020)
================================================
(FINAL CALL FOR PAPERS)

**Tarragona**, Catalonia, Sep. 23-25, 2020

http://unescoprivacychair.urv.cat/psd2020

Submission deadline: EXTENDED TO JUNE 1, 2020

COVID19 ADVISORY
Due to the current Covid19 situation, PSD 2020 will be a hybrid of in-person and online
conference or a fully online conference in the originally scheduled dates of
Sep. 23-25, 2020. Whereas the on-line meeting will be held in any case,
in July we will announce whether the in-person meeting is maintained; if it is,
the in-person meeting will take place in *Tarragona*, Catalonia rather than in the
original venue of Arezzo.
The submission deadline is extended to *June 1, 2020*.


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 2020" (PSD 2020) 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 2020 is to
attract world-wide, high-level research in statistical database privacy.

PSD 2020 is a successor to

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 11126, LNCS 9867, LNCS 8744,
LNCS 7556, LNCS 6344, LNCS 5262, LNCS 4302 and LNCS 3050, respectively. Those
nine 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 2020 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)
- Elisa Bertino (CERIAS, Purdue University, USA)
- Aleksandra Bujnowska (EUROSTAT, European Union)
- Jordi Castro (Polytechnical University of Catalonia)
- Anne-Sophie Charest (Universite Laval, Quebec, Canada)
- Christopher Clifton (Purdue University, USA)
- Graham Cormode (University of Warwick, UK)
- 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)
- Hiroaki Kikuchi (Meiji University, Japan)
- Bradley Malin (Vanderbilt University, USA)
- Laura McKenna (Census Bureau, USA)
- Krish Muralidhar (The University of Oklahoma, USA)
- Anna Oganyan (National Center for Health Statistics, USA)
- David Rebollo (Universitat Rovira i Virgili, Catalonia)
- Jerry Reiter (Duke University, USA)
- Yosef Rinott (Hebrew University, Israel)
- Steven Ruggles (University of Minnesota, USA)
- Nicolas Ruiz (OECD)
- Pierangela Samarati (University of Milan, Italy)
- 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, Catalonia)
- Tamir Tassa (The Open University, Israel)
- Vicenc Torra (Umeaa University, Sweden)
- Peter-Paul de Wolf (Statistics Netherlands)

PROGRAM CHAIR

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

GENERAL CHAIR

- Krishnamurty Muralidhar (The University of Oklahoma, USA)

ORGANIZATION COMMITTEE

- Joaquin Garcia-Alfaro (Telecom SudParis, France)
- Jesus Manjon (Universitat Rovira i Virgili, Catalonia)
- Romina Russo (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 2020 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*.


6. IMPORTANT DATES
------------------

Submission deadline: EXTENDED TO **JUNE 1, 2020**
Acceptance notification: June 26, 2020
Proceedings version due: July 5, 2020

USB-only submission deadline: July 5, 2020
USB-only acceptance notification: July 15, 2020
USB-only proceedings version due: July 22, 2020

Conference: Sep. 23-25, 2020


7. VENUE AND TRAVEL
-------------------

The conference will take place at Universitat Rovira i Virgili,
Tarragona, Catalonia (in-person mode) and also on-line for
those authors and participants unable or unwilling to travel (instructions
will follow).

Further venue, travel and accomodation information will be posted in due course
at http://unescoprivacychair.urv.cat/psd2020

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 2020 at
http://unescoprivacychair.urv.cat/psd2020

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