CODASPY

E77758

CODASPY is an academic conference focused on research in data and application security and privacy.

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This AI-generated illustration was produced by black-forest-labs/FLUX.2-dev (1024x1024) from a prompt written by openai/gpt-oss-120b from the entity's label + description.

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Generate an image of CODASPY (CODASPY is an academic conference focused on research in data and application security and privacy.)

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Label Occurrences
CODASPY canonical 3

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Statements (51)

Predicate Object
instanceOf academic conference ⓘ
computer security conference ⓘ
community academic researchers ⓘ
industry researchers ⓘ
practitioners in security and privacy ⓘ
field application security ⓘ
computer security ⓘ
data security ⓘ
privacy ⓘ
focusesOn research in application security ⓘ
research in data security ⓘ
research in privacy ⓘ
fullName ACM Conference on Data and Application Security and Privacy ⓘ
hasAbbreviation CODASPY ⓘ
hasSubmissionType demos ⓘ
posters ⓘ
research papers ⓘ
short papers ⓘ
hasTopic access control ⓘ
anonymization and de-identification ⓘ
application-layer security ⓘ
auditing and accountability for data access ⓘ
blockchain applications for data security ⓘ
cryptographic mechanisms for data protection ⓘ
data availability ⓘ
data confidentiality ⓘ
data integrity ⓘ
data leakage detection and prevention ⓘ
database security ⓘ
forensics for data and applications ⓘ
intrusion detection for data-centric systems ⓘ
machine learning for security and privacy of data ⓘ
policy languages for security and privacy ⓘ
privacy in big data ⓘ
privacy in social networks ⓘ
privacy-preserving data analysis ⓘ
regulatory compliance for data protection ⓘ
secure data sharing ⓘ
security and privacy in IoT data ⓘ
security and privacy in healthcare data ⓘ
security and privacy policies ⓘ
security in cloud data services ⓘ
security in mobile applications ⓘ
security in web applications ⓘ
threats to data-centric applications ⓘ
usable security and privacy for data-centric systems ⓘ
organizedBy ACM ⓘ
Association for Computing Machinery ⓘ
reviewProcess peer-reviewed ⓘ
sponsoredBy ACM SIGSAC ⓘ
ACM Special Interest Group on Security, Audit and Control ⓘ
linked to: ACM SIGSAC

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Referenced by (3)

Full triples — surface form annotated when it differs from this entity's canonical label.