# CODASPY — ACM Conference on Data and Application Security and Privacy

- **Submission deadline**: 2024-12-01
- **Notification date**: 2025-01-24
- **Conference date**: 2025-06-04
- **Location**: Pittsburgh, Pennsylvania, USA
- **Rankings**: CCF C · QUALIS B4
- **Conference Partner Index**: 60.2/100 (ranked #581, confidence 0.80, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 32
- **Attendees**: 1
- **Canonical page**: https://www.myhuiban.com/conference/1319

## Call for papers

CODASPY 2025 is the 15th 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: Application-layer security policies Access control for applications Access control for databases Artificial intelligence for security Data-dissemination controls Data forensics Data leak detection and prevention Enforcement-layer security policies Machine learning for security 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 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 CODASPY 2025 will also feature a dataset and tool paper track, which will provide a unique venue for researchers and practitioners to make available and citable their work done to achieve datasets or tools relevant in the security and privacy domain. Papers accepted in this track have to describe the available datasets or reporting on the design and implementation of application security and privacy tools. Dataset/tool papers are limited to 6 pages.

## Related conferences

- S&P — IEEE Symposium on Security and Privacy — https://www.myhuiban.com/conference/289
- ICC — International Conference on Communications — https://www.myhuiban.com/conference/318
- IJCNN — International Joint Conference on Neural Networks — https://www.myhuiban.com/conference/428
- TrustCom — International Conference on Trust, Security and Privacy in Computing and Communications — https://www.myhuiban.com/conference/1289
- ICONIP — International Conference on Neural Information Processing — https://www.myhuiban.com/conference/437

## Related journals

- IEEE Security & Privacy — https://www.myhuiban.com/journal/31
- Security and Privacy — https://www.myhuiban.com/journal/687
- Knowledge-Based Systems — https://www.myhuiban.com/journal/227
- Future Generation Computer Systems — https://www.myhuiban.com/journal/36
- Neurocomputing — https://www.myhuiban.com/journal/234

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Source: Conference Partner — https://www.myhuiban.com/conference/1319 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)