# intellectual-property
標記為「intellectual-property」的 9 篇文章
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.
從程式碼模型萃取訓練資料
從程式碼生成模型權重復原專有程式碼的技術——涵蓋記憶偵測、針對性萃取、成員推論與防禦對策。
模型 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.
模型 Distillation 攻擊s
Stealing model capabilities via knowledge distillation: API-based distillation, bypassing access restrictions, task-specific capability theft, and defense against distillation-based model stealing.
基於蒸餾的模型擷取
以知識蒸餾進行模型竊取：師生擷取攻擊、以 API 為基礎的蒸餾、任務特定擷取，以及對抗蒸餾式模型竊取的防禦。