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25 сентября - 27 сентября 2024 г.

Ранг: C (CORE2023)Offline

Privacy in Statistical Databases

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Обзор

The Privacy in Statistical Databases (PSD) 2024 conference will be held in Antibes Juan-les-Pins, France, from September 25-27, 2024. The conference aims to find tradeoffs between the demand for accurate information and the need to protect the privacy of respondents, data owners, and users in statistical databases. Proceedings will be published by Springer-Verlag in Lecture Notes in Computer Science.

Требования к статьям

Privacy in Statistical Databases 2024 (PSD 2024) - Call for Papers

The Privacy in Statistical Databases (PSD) 2024 conference will be held in Antibes Juan-les-Pins, France, from September 25-27, 2024.

Aims and Goals

Privacy in statistical databases focuses on balancing the demand for accurate information with the legal and ethical obligation to protect the privacy of individuals, enterprises, data owners, and users.

PSD 2024 is organized by the CRISES research group at Universitat Rovira i Virgili and will have proceedings published by Springer-Verlag in Lecture Notes in Computer Science. The conference aims to attract high-level research in statistical database privacy globally.

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 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
  • 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
  • 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

Submissions

  • Full papers containing original technical contributions or high-quality surveys are sought.
  • Camera-ready versions should use the LaTeX2e style (llncs.zip, typeinst.zip) or the Word template (word.zip) from Springer Verlag Lecture Notes in Computer Science. These templates are encouraged for submissions.
  • Submission Link: https://easychair.org/conferences/?conf=psd2024

Length of Submissions

  • Maximum 12 pages excluding bibliography and appendices.
  • Maximum 16 pages total.
  • Submissions not meeting these guidelines risk rejection.

Proceedings

  • LNCS Publication: Selected papers of high quality will be published in the Lecture Notes in Computer Science (LNCS) series by Springer.
  • USB Publication: Remaining accepted papers will be published in a USB with an ISBN.

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

Venue and Travel

To be announced. Information will be posted at https://unescoprivacychair.urv.cat/psd2024/

Registration

Registration information will be posted no later than May 2024 at https://unescoprivacychair.urv.cat/psd2024/

Важные даты

Даты конференции

Conference Date

25 сентября 2024 г.27 сентября 2024 г.

Подача

Submission deadline

26 мая 2024 г.

USB-only submission deadline

30 июня 2024 г.

Уведомление

Acceptance notification

21 июня 2024 г.

USB-only acceptance notification

11 июля 2024 г.

Финальная версия

Proceedings version due

30 июня 2024 г.

USB-only proceedings version due

17 июля 2024 г.

Ранг источника

Источник: CORE2023

Ранг: C

Область исследований: Cybersecurity and privacy

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