Conference Information

PSD 2020: Privacy in Statistical Databases

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Submission Date:
2020-06-01 Extended
Notification Date:
2020-06-26
Conference Date:
2020-09-23
Location:
Arezzo, Italy
Years:
11
ICORE: C   Viewed: 24661   Tracked: 2   Attend: 0

Conference Partner Index (CP-I)

49.7 / 100
Ranked #1,583 of 5,651 conferences · Top 28%

#10 of 69 in Mathematics & Physical Sciences #84 of 337 in Data Mining & Databases #107 of 357 in Security & Privacy

Academic recognition (35%)
58
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
67
Community attention (10%)
23
Public record completeness (15%)
25

Inputs used: Listed as ICORE C · Editions on record: 11 · Researchers following it here: 2 · Researchers who opened this page in the past 24 months: 4

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 80% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-05

Call For Papers

PSD 2020 (Privacy in Statistical Databases) is a ICORE C conference held in Arezzo, Italy on 2020-09-23. The paper submission deadline is 2020-06-01 (extended). Acceptance notifications are sent on 2020-06-26.

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
Last updated by Dou Sun on

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