Row 203 · m203-model-extraction-researchSupporting
Model extraction research
Proposed Additional Source CategoriesAcademictopic page
Assessment outcome
total 4/6 (actionability 0 + authority 2 + currency 2)
Total4/6
Actionability0/2
Authority2/2
Currency2/2
Eligibility gates
G1 · Retrievablepass
HTTP 200, 731 words of full text extracted
G2 · AI nexuspass
The page is explicitly about machine learning models, prediction APIs, and model extraction attacks.
G3 · Governance nexuspass
Addresses security risks, model confidentiality, and the need for deployment countermeasures.
G4 · Attributablepass
The paper explicitly lists multiple named authors.
G5 · In forcepass
No notice of retraction, withdrawal, or supersession is present on the page.
Scored criteria
Actionability
0/2Score 0: Description or analysis only, detailing model extraction attacks without binding steps.
Authority
2/2Score 2: Peer-reviewed article appearing in conference proceedings.
Proceedings of USENIX Security 2016
Currency
2/2computed: newest date 2026-08-11 (via http-header), ~0.0y old; within the 60-month academic_research window for perspective 'Academic' → 2
Classification
Coverage topicModel extraction attacks via APIs
PerspectiveAcademic
Lifecycle stage6 Operate & monitor
Layermodel
Trackgeneral
Granularitytopic page