# intellectual-property
5 articlestagged with “intellectual-property”
Model Extraction & Privacy Assessment
Test your advanced knowledge of model extraction, model stealing, membership inference, and intellectual property theft attacks against AI systems with 9 questions.
Training Data Extraction from Code Models
Techniques for recovering proprietary code from code generation model weights — covering memorization detection, targeted extraction, membership inference, and defensive countermeasures.
Model Extraction from Multimodal Systems
Techniques for extracting model capabilities, weights, and architecture details from multimodal AI systems through visual, audio, and cross-modal query strategies.
Model Distillation Attacks
Stealing model capabilities via knowledge distillation: API-based distillation, bypassing access restrictions, task-specific capability theft, and defense against distillation-based model stealing.
Distillation-Based Model Extraction
Using knowledge distillation for model theft: student-teacher extraction attacks, API-based distillation, task-specific extraction, and defending against distillation-based model stealing.