Model Theft & Extraction

model-theftextractionipside-channel

Attackers extract model parameters, intellectual property, or proprietary data through repeated queries or side channels.

Technical Details
Affected Components:
Language Models (LLMs)Reasoning / Planning Paradigm
Impact Level:Medium
Attack Vectors
  • Query-based Extraction: Repeated queries to reconstruct model weights or training data. [Medium]
  • Side Channel Attacks: Exploiting timing, memory, or resource usage to infer model details. [Medium]
Impact Analysis
Risk Score: 7/10
Mitigation Categories
References