Conference Information

CODASPY 2027: ACM Conference on Data and Application Security and Privacy

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Submission Date:
2026-11-16 Due in 29 days
Notification Date:
2027-01-25
Conference Date:
2027-06-14
Location:
Fort Collins, Colorado, USA
Years:
CCF: C   QUALIS: B4   Viewed: 49579   Tracked: 32   Attend: 1
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CODASPY
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Conference Partner Index (CP-I)

64.5 / 100
Ranked #460 of 5,721 conferences · Top 9%

#39 of 363 in Security & Privacy

Academic recognition (35%)
66
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
78
Community attention (10%)
53
Public record completeness (15%)
70

Inputs used: Listed as CCF C, QUALIS B4 · Editions on record: 17 · Researchers following it here: 32 · Researchers who opened this page in the past 24 months: 12

Missing from the public record: Historical acceptance rates (+4.5)
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 1.2 · Computed 2026-10-18

Call For Papers

CODASPY 2027 (ACM Conference on Data and Application Security and Privacy) is a CCF C / QUALIS B4 conference held in Fort Collins, Colorado, USA on 2027-06-14. The paper submission deadline is 2026-11-16. Acceptance notifications are sent on 2027-01-25.

CODASPY 2027 is the 17th ACM Conference on Data and Application Security and Privacy. Data and applications security and privacy has rapidly expanded as a research field with many important challenges to be addressed. The goal of the ACM Conference on Data and Applications Security (CODASPY) is to discuss novel, exciting research topics in data and application security and privacy, and to lay out directions for further research and development in this area. The conference seeks submissions from diverse communities, including corporate and academic researchers, open-source projects, standardization bodies, governments, system and security administrators, software engineers and application domain experts. Topics of interest include, but are not limited to: Authorization and access control for applications including AI agents Authorization and access control for databases Application-layer security policies Artificial intelligence / machine learning for security Data-dissemination controls Data forensics Data leak detection and prevention Enforcement-layer security policies Privacy-preserving techniques Private information retrieval Search on protected/encrypted data Secure auditing Secure collaboration Secure data provenance Secure electronic commerce Secure information sharing Secure knowledge management Secure multiparty computation Secure software development Securing data/apps on untrusted platforms Securing the semantic web Security and privacy in GIS/spatial data Security and privacy in healthcare Security and privacy in the Internet of Things Security of AI systems Security policies for databases Social computing security and privacy Social networking security and privacy Trust metrics for applications, data, and users Trustworthy artificial intelligence / machine learning Usable security and privacy Web application security In addition to the regular research paper track, CODASPY 2027 will also feature dataset and tool paper, bluesky, and SoK tracks, as detailed below. Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal, conference or workshop. Simultaneous submission of the same work is not allowed. All submissions should be made electronically at https://codaspy27.hotcrp.com/
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CFuture Generation Computer Systems5.9Elsevier0167-739X
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CPattern Recognition Letters3.9Elsevier0167-8655
CIEEE Transactions on Industrial Informatics11.7IEEE1551-3203
CIEEE Internet of Things Journal8.9IEEE2327-4662
CEngineering Applications of Artificial Intelligence9.0Elsevier0952-1976
CExpert Systems with Applications7.5Elsevier0957-4174

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