ACM Conference on Data and Application Security and Privacy
E79293
The ACM Conference on Data and Application Security and Privacy (CODASPY) is a research-focused annual venue that brings together academics and practitioners to present and discuss advances in securing data and applications and protecting privacy in computer and information systems.
All labels observed (1)
| Label | Occurrences |
|---|---|
| ACM Conference on Data and Application Security and Privacy canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T620629 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ACM Conference on Data and Application Security and Privacy Context triple: [ACM SIGSAC, organizerOf, ACM Conference on Data and Application Security and Privacy]
-
A.
Proceedings of the ACM Conference on Computer and Communications Security
Proceedings of the ACM Conference on Computer and Communications Security is a leading peer-reviewed academic venue publishing cutting-edge research on computer and communications security and privacy.
-
B.
PPoPP
PPoPP is a leading ACM conference focused on principles and practice of parallel programming, covering research in parallel architectures, languages, compilers, and runtime systems.
-
C.
SACMAT
SACMAT is an annual ACM conference focused on research and advances in access control, security, and trust management in computer systems.
-
D.
ACM Symposium on Applied Computing
The ACM Symposium on Applied Computing is a leading annual international conference that brings together researchers and practitioners to present and discuss innovative applications of computing across diverse domains.
-
E.
ACM/IEEE International Conference on Cyber-Physical Systems
The ACM/IEEE International Conference on Cyber-Physical Systems is a leading annual research conference focused on the theory, design, analysis, and application of integrated computational and physical systems across domains such as transportation, energy, healthcare, and industrial automation.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ACM Conference on Data and Application Security and Privacy Target entity description: The ACM Conference on Data and Application Security and Privacy (CODASPY) is a research-focused annual venue that brings together academics and practitioners to present and discuss advances in securing data and applications and protecting privacy in computer and information systems.
-
A.
Proceedings of the ACM Conference on Computer and Communications Security
Proceedings of the ACM Conference on Computer and Communications Security is a leading peer-reviewed academic venue publishing cutting-edge research on computer and communications security and privacy.
-
B.
PPoPP
PPoPP is a leading ACM conference focused on principles and practice of parallel programming, covering research in parallel architectures, languages, compilers, and runtime systems.
-
C.
SACMAT
SACMAT is an annual ACM conference focused on research and advances in access control, security, and trust management in computer systems.
-
D.
ACM Symposium on Applied Computing
The ACM Symposium on Applied Computing is a leading annual international conference that brings together researchers and practitioners to present and discuss innovative applications of computing across diverse domains.
-
E.
ACM/IEEE International Conference on Cyber-Physical Systems
The ACM/IEEE International Conference on Cyber-Physical Systems is a leading annual research conference focused on the theory, design, analysis, and application of integrated computational and physical systems across domains such as transportation, energy, healthcare, and industrial automation.
- F. None of above. chosen
Statements (53)
| Predicate | Object |
|---|---|
| instanceOf |
academic conference
ⓘ
computer science conference ⓘ security and privacy conference ⓘ |
| audience |
academics
ⓘ
industry professionals ⓘ practitioners ⓘ researchers ⓘ |
| eventType | research conference ⓘ |
| field |
application security
ⓘ
computer security ⓘ data security ⓘ information security ⓘ privacy ⓘ |
| focusesOn |
access control
ⓘ
applied cryptography for data security ⓘ data analytics for security ⓘ data privacy ⓘ data protection ⓘ privacy-preserving data analysis ⓘ protecting privacy in computer systems ⓘ protecting privacy in information systems ⓘ securing applications ⓘ securing data ⓘ security and privacy in applications ⓘ security and privacy in cloud computing ⓘ security and privacy in databases ⓘ security and privacy in mobile and web applications ⓘ security and privacy in online services ⓘ security and privacy policies ⓘ usable security and privacy ⓘ |
| goal |
advance research in data and application security
ⓘ
advance research in privacy protection ⓘ foster collaboration between academia and industry ⓘ |
| hasComponent |
keynote talks
ⓘ
panel discussions ⓘ poster sessions ⓘ technical paper sessions ⓘ workshops ⓘ |
| hasFrequency | annual ⓘ |
| hasReviewProcess | peer review ⓘ |
| language | English ⓘ |
| organizedBy |
ACM SIGSAC
ⓘ
ACM Special Interest Group ⓘ
surface form:
ACM Special Interest Groups
steering committee ⓘ |
| proceedingsPublisher | Association for Computing Machinery ⓘ |
| publishes | peer-reviewed conference proceedings ⓘ |
| shortName | CODASPY ⓘ |
| sponsoredBy |
ACM
ⓘ
Association for Computing Machinery ⓘ |
| submissionType |
demos
ⓘ
full research papers ⓘ posters ⓘ short papers ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: ACM Conference on Data and Application Security and Privacy Description of subject: The ACM Conference on Data and Application Security and Privacy (CODASPY) is a research-focused annual venue that brings together academics and practitioners to present and discuss advances in securing data and applications and protecting privacy in computer and information systems.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.