PRIVACY IN STATISTICAL DATABASES 2024 (PSD 2024)
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Antibes, France, Sep. 25-27, 2024
https://unescoprivacychair.urv.cat/psd2024/
Submission deadline: MAY 19, 2024
1. AIMS AND GOAL
Privacy in statistical databases is about finding tradeoffs to the
tension between the increasing societal and economic 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: 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 2024" (PSD 2024) 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
2024 is to attract world-wide, high-level research in statistical
database privacy.
PSD 2024 is a successor to PSD 2022 (Paris), PSD 2020 (online), PSD 2018
(Valencia), PSD 2016 (Dubrovnik), PSD 2014 (Eivissa), PSD 2012
(Palermo), PSD
2010 (Corfu), PSD 2008 (Istanbul), PSD 2006 (Rome) and PSD 2004 (Barcelona),
all with proceedings published by Springer LNCS. Th PSD conferences follow a
tradition of high-quality technical conferences on SDC which started with
"Statistical Data Protection-SDP 1998" (Lisbon) and the AMRADS project SDC
Workshop (Luxembourg, 2021).
Like the aforementioned preceding conferences, PSD 2024 originates in
Europe, but wishes to stay a worldwide event in database privacy and
SDC. Thus, contributions and attendees from overseas are welcome.
2. 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
Big data anonymization
Mobility data anonymization
Streaming data anonymization
Decentralized anonymization
Balancing data quality and data confidentiality in SDC
Differential privacy and other privacy models
Synthetic data
SDC transparency issues
Onsite access centers/Trusted research environments
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)
Privacy in healthcare
Privacy in official and corporate statistics
Data protection in machine learning
Other data anonymization issues
3. 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 for their submissions.
Easychair submission link of PSD 2024:
https://easychair.org/conferences/?conf=psd2024
LENGTH OF SUBMISSIONS.
Using the above format with 11-point font, the paper should be at most
12 pages excluding the 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.
4. PROCEEDINGS
Among PSD 2024 accepted papers, a selection will be made based on
quality and coverage. 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 USB papers will
be available at the conference.
5. IMPORTANT DATES
Submission deadline: May 19, 2024
Acceptance notification: June 21, 2024
Proceedings version due: June 30, 2024
USB-only submission deadline: June 30, 2024
USB-only acceptance notification: July 11, 2024
USB-only proceedings version due: July 17, 2024
Conference: Sep. 25-27, 2022
6. VENUE AND TRAVEL
The conference will take place at Palais des Congres d'Antibes-Juan Les
Pins, in Antibes, a seaside city in the Alpes-Maritimes department in
Southeastern France. Antibes is located on the French Riviera between
Cannes and Nice.
More information will be posted in due course at
https://unescoprivacychair.urv.cat/psd2024/
7. REGISTRATION
Registration information will be posted no later than May 2024 at
https://unescoprivacychair.urv.cat/psd2024/
8. ORGANIZATION
PROGRAM COMMITTEE
- 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)
- Graham Cormode (University of Warwick, UK)
- Peter-Paul de Wolf (Statistics Netherlands)
- Josep Domingo-Ferrer (Universitat Rovira i Virgili, Catalonia)
- Joerg Drechsler (IAB, Germany)
- Mark Elliot (Manchester University, UK)
- Sebastien Gambs (Universite du Quebec a Montreal)
- Sarah Giessing (Destatis, Germany)
- Hiroaki Kikuchi (Meiji University, Japan)
- Maryline Laurent (Telecom SudParis, France)
- Bradley Malin (Vanderbilt University, USA)
- Robin Mitra (University College London, UK)
- Nuno Moniz (University of Notre Dame, USA)
- Anna Monreale (Universita di Pisa, Italy)
- Krish Muralidhar (The University of Oklahoma, USA)
- Benjamin Nguyen (INSA Centre Val de Loire, France)
- Anna Oganyan (National Center for Health Statistics, USA)
- Melek Onen (Eurecom, France)
- Javier Parra (Universitat Politecnica de Catalunya, Catalonia)
- Gillian Raab (University of Edinburgh, UK)
- 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)
- Tamir Tassa (The Open University, Israel)
- Vicenc Torra (Umea University, Sweden)
PROGRAM CHAIR
Josep Domingo-Ferrer (UNESCO Chair in Data Privacy, Universitat Rovira i
Virgili, Catalonia)
GENERAL CHAIR
Melek Onen (Eurecom, France)
ORGANIZATION COMMITTEE
Joaquin Garcia-Alfaro (Telecom SudParis, France)
Jesus A. Manjon (Universitat Rovira i Virgili, Catalonia)
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