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Present CFP : 2020
PRIVACY IN STATISTICAL DATABASES 2020 (PSD 2020)
Arezzo, Italy, Sep. 23-25, 2020
Submission deadline: **MAY 24, 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 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 (Valencia, Sep. 26-28, 2018,
PSD 2016 (Dubrovnik, Sep. 14-16, 2016,
PSD 2014 (Eivissa, Sep. 17-19, 2014,
PSD 2012 (Palermo, Sep. 26-28, 2012,
PSD 2010 (Corfu, Sep. 22-24, 2010,
PSD 2008 (Istanbul, Sep. 24-26, 2008,
PSD 2006 (Rome, Dec. 13-15, 2006,
and PSD 2004 (Barcelona, June 9-11, 2004,
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.
PROGRAM COMMITTEE (TO BE CONFIRMED AND POSSIBLY WITH ADDITIONAL NAMES)
- Jane Bambauer (University of Arizona, USA)
- Bettina Berendt (KU Leuven, Belgium)
- Elisa Bertino (CERIAS, Purdue University, USA)
- Aleksandra Bujnowska (EUROSTAT, European Union)
- Jordi Castro (Polytechnical University of Catalonia)
- Anne-Sophie Charest (Universite Laval, Quebec, Canada)
- 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)
- Sara Hajian (Eurecat Technology Center, Catalonia)
- Alan Karr (CoDA, RTI, USA)
- Julia Lane (New York University, USA)
- Bradley Malin (Vanderbilt University, USA)
- Laura McKenna (Census Bureau, USA)
- Gerome Miklau (University of Massachusetts-Amherst, USA)
- Krish Muralidhar (The University of Oklahoma, USA)
- Anna Oganyan (National Center for Health Statistics, USA)
- David Rebollo (Universitat Politecnica de Catalunya)
- Jerry Reiter (Duke University, USA)
- Yosef Rinott (Hebrew University, Israel)
- 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 (NUI Maynooth, Ireland)
- Vassilios Verykios (Hellenic Open University, Greece)
- William E. Winkler (Census Bureau, USA)
- Peter-Paul de Wolf (Statistics Netherlands)
- Josep Domingo-Ferrer (UNESCO Chair in Data Privacy, Universitat Rovira i Virgili, Catalonia)
- Krishnamurty Muralidhar (The University of Oklahoma, USA)
- 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
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.
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.
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: **MAY 24, 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 the San Francesco classroom annex of the 'Oklahoma University in Arezzo' facilities, located in the city of Arezzo.
OU in Arezzo. San Francesco Classroom annex
Piazza San Francesco, 18
Arezzo, Italy 52100
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.
Registration information will be posted no later than June 2020 at http://unescoprivacychair.urv.cat/psd2020