PSD2020: PRIVACY IN STATISTICAL DATABASES 2020 Campus Sescelades. Universitat Rovira i Virgili Tarragona, Spain, September 22-25, 2020 |
Conference website | https://unescoprivacychair.urv.cat/psd2020/ |
Submission link | https://easychair.org/conferences/?conf=psd2020 |
Submission deadline | June 1, 2020 |
PRIVACY IN STATISTICAL DATABASES 2020 (PSD 2020)
Tarragona, Catalonia, Sep. 23-25, 2020
https://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 onlineconference or a fully online conference in the originally scheduled dates ofSep. 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 theoriginal 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 informationand the legal and ethical obligation to protect the privacy of individuals and enterprises which are the respondents providing the statistical data. In the case of statistical databases, the motivation for respondent privacy is one of survival: statistical agencies or survey institutes 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 (València, 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 (More members to be confirmed soon)
- 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 (Universitat Politècnica de Catalunya)
- Anne-Sophie Charest (Université Laval, Québec, Canada)
- Chris Clifton (Purdue University, USA)
- Graham Cormode (University of Warwick, UK)
- Peter-Paul de Wolf (Statistics Netherlands)
- Josep Domingo (Universitat Rovira i Virgili, Catalonia)
- Joerg Drechsler (IAB, Germany)
- Khaled El Emam (University of Ottawa, Canada)
- Mark Elliot (Manchester University, UK)
- Sébastien Gambs (Université du Québec à Montréal)
- Sarah Giessing (Destatis, Germany)
- Hiroaki Kikuchi (Meiji University, Japan)
- Bradley Malin (Vanderbilt University, USA)
- Laura McKenna (Census Bureau, USA)
- Anna Monreale (Università di Pisa, Italy)
- 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, European Union)
- Pierangela Samarati (University of Milan, Italy)
- 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 (Umeaa University, Sweden)
- Lars Vilhuber (Cornell University, USA)
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
- Joaquín Garcia-Alfaro (Télécom SudParis, France)
- Jesús Manjón (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 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 2020: https://easychair.org/conferences/?conf=psd2020
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 (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 CD will be *available at the conference*.
6. IMPORTANT DATES
Submission deadline extended: 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 fort hose authors and participants unable or unwilling to travel (instructions will follow).
Further venue, travel and accommodation 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. Informationon 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