会议信息

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

截稿日期:
2026-11-16 还有 2 天
通知日期:
2027-01-25
会议日期:
2027-06-14
会议地点:
Fort Collins, Colorado, USA
届数:
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CCF: C   QUALIS: B4   浏览: 50356   关注: 32   参加: 1
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CODASPY
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会伴指数 (CP-I)

65.0 / 100
全站第 449 名 / 共 5,777 个会议 · 前 8%

安全与隐私 第 39 / 367

学术认可 (35%)
66
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
78
社区关注 (10%)
58
资料公开度 (15%)
70

用到的输入: 收录等级：CCF C, QUALIS B4 · 有据可查的届次：17 · 在会伴关注它的研究者：32 人 · 过去 24 个月打开过本页的研究者：26 人

公开资料里还缺: 历年录用率 (+4.5)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.2 · 算于 2026-11-14

这些机构的科研人员在跟踪这个会议

Institute of Information Engineering, Chinese Academy of Sciences 9
University of Chinese Academy of Sciences 4

依据科研人员在个人资料中自行填写的机构，我们不做核验。

征稿

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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