USENIX Security
E377218
USENIX Security is a leading annual academic conference focused on cutting-edge research in computer security and privacy.
All labels observed (4)
| Label | Occurrences |
|---|---|
| USENIX Security canonical | 1 |
| USENIX Security Symposium | 1 |
| USENIX Security and Privacy Symposium | 1 |
| USENIX conferences | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3665919 — 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: USENIX Security Context triple: [AsiaCCS, relatedTo, USENIX Security]
-
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.
ACM Conference on Data and Application Security and Privacy
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.
-
C.
ACM SIGSAC
ACM SIGSAC is the Association for Computing Machinery’s Special Interest Group on Security, Audit and Control, focusing on research and community-building in computer and information security.
-
D.
ACM Workshop on Privacy in the Electronic Society
The ACM Workshop on Privacy in the Electronic Society is a leading academic forum for research and discussion on privacy, security, and data protection issues in digital and online environments.
-
E.
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.
- 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: USENIX Security Target entity description: USENIX Security is a leading annual academic conference focused on cutting-edge research in computer 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.
ACM Conference on Data and Application Security and Privacy
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.
-
C.
ACM SIGSAC
ACM SIGSAC is the Association for Computing Machinery’s Special Interest Group on Security, Audit and Control, focusing on research and community-building in computer and information security.
-
D.
ACM Workshop on Privacy in the Electronic Society
The ACM Workshop on Privacy in the Electronic Society is a leading academic forum for research and discussion on privacy, security, and data protection issues in digital and online environments.
-
E.
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.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
academic conference
ⓘ
annual event ⓘ computer security conference ⓘ |
| acceptanceRate | competitive ⓘ |
| alsoKnownAs |
USENIX Security
ⓘ
surface form:
USENIX Security Symposium
USENIX Security ⓘ
surface form:
USENIX Security and Privacy Symposium
|
| continent | North America ⓘ |
| field |
computer security
ⓘ
cybersecurity ⓘ information security ⓘ privacy ⓘ |
| focus |
cutting-edge research in computer security
ⓘ
cutting-edge research in privacy ⓘ |
| frequency | annual ⓘ |
| includes |
invited talks
ⓘ
peer-reviewed research papers ⓘ poster sessions ⓘ technical sessions ⓘ workshops ⓘ |
| language | English ⓘ |
| organizer | USENIX Association ⓘ |
| reputation |
leading conference in computer security
ⓘ
top-tier security conference ⓘ |
| reviewProcess | peer-reviewed ⓘ |
| scope | international ⓘ |
| submissionType | full research papers ⓘ |
| targetAudience |
academic researchers
ⓘ
government researchers ⓘ industry practitioners ⓘ students ⓘ |
| topic |
access control
ⓘ
applied cryptography ⓘ authentication ⓘ cloud security ⓘ hardware security ⓘ intrusion detection ⓘ malware analysis ⓘ mobile security ⓘ network security ⓘ privacy policies and mechanisms ⓘ privacy-enhancing technologies ⓘ security measurement ⓘ security protocols ⓘ side-channel attacks ⓘ software security ⓘ system security ⓘ usable security and privacy ⓘ vulnerability analysis ⓘ web security ⓘ |
| typicalMonth | August ⓘ |
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: USENIX Security Description of subject: USENIX Security is a leading annual academic conference focused on cutting-edge research in computer security and privacy.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
USENIX conferences
this entity surface form:
USENIX Security Symposium
this entity surface form:
USENIX Security and Privacy Symposium