PromptRiskDBThreat intelligence atlas

Use Pre-Trained Model - AI Security Technique

AI Security Technique

Adversaries may use an off-the-shelf pre-trained model as a proxy for the victim model to aid in staging the attack.

Overview

A source-backed snapshot of this AI security technique.

Tactics0Attacker goals connected to this method.
Mitigations1Defenses that may help against this attack.
AI risks0Research-backed risks connected to this topic.

Technique details

Identifiers, maturity, and source taxonomy for this technique.

ATLAS ID
AML.T0005.002
Maturity
feasible
Priority score
13

Attack flow

How to read the public records connected to this technique.

1. TechniqueRead the ATLAS description and evidence level.
2. TacticsSee which attacker goals this method supports.
3. ExamplesCheck whether public case studies mention it.
4. DefensesReview safeguards mapped by ATLAS.
5. SourcesOpen the original public records and references.

Impact

Why this technique may deserve attention in the current dataset.

  • Evidence levelfeasible
  • Mapped defenses1 ATLAS mitigation records
  • Public examples0 linked case study records
  • Research risks0 related MIT AI Risk records above the confidence threshold
  • Vulnerabilities0 linked CVE records

Mitigations

Defenses that may help against this attack.

AML.M0000 - Limit Public Release of Information

Limiting release of technical information about a model and training data can reduce an adversary's ability to create an accurate proxy model.

LifecycleBusiness and Data UnderstandingCategoryPolicy
B&D Understanding

Case studies

Examples from public reports and exercises.

No case studies found. No public example is connected to this attack in the current data.

Source evidence

Original public records and references for this page.