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OC-AMLAASO · AI Security: Offensive & Red TeamingPractitionerIn development

Adversarial ML Attacks: Evasion, Extraction & Inference

In development · enrolment sequence to be confirmed

LevelPractitioner
PrerequisitesFoundation or equivalent
StatusIn development
SpecificationDraft · not approved
EnrolmentNot yet open

01Overview

Evasion attacks, model extraction and membership inference methodology.

Domain scope · ASO

Systematic red teaming of AI systems, from prompt injection to full-scope agent exploitation, including adversarial ML, model fingerprinting and purple teaming.

Intended for: Red team specialists, adversarial ML researchers, penetration testers

02Planned topics

Planned · outcomes published with the specification
  • Evasion attacks
  • Model extraction methodology
  • Membership inference
  • The adversarial ML attack taxonomy

03Proposed case references

Source review pending
I-2
OpenAI/DeepSeek Model Distillation CampaignSource review · In review

Proposed connection, subject to source review. The specific connection between each case and the course content is published with the approved specification.

04Assessment

Format, duration, passing score and practical component are published with the approved specification.

05Instructor

TBA
Announced when appointed

Instructors are practitioners appointed against a written standard for the ASO domain.

How faculty are appointed →

Official specification registerOC-AMLASpecification not yet issued
Version Last reviewed
This course is in active development. Duration, pricing, session dates and instructor are published when confirmed. Proposed case references, framework references, syllabus, labs and assessment are drafts until the course specification is approved.