# training-attacks
標記為「training-attacks」的 4 篇文章
Data & Training Security
Security vulnerabilities in the AI data pipeline, covering RAG exploitation, training data attacks, model extraction and intellectual property theft, and privacy attacks against deployed models.
data-securityragtraining-attacksmodel-extractionprivacydata-poisoning
Backdoor Trigger Design
Methodology for designing effective backdoor triggers for LLMs, covering trigger taxonomy, poison rate optimization, trigger-target mapping, multi-trigger systems, evaluation evasion, and persistence through fine-tuning.
backdoortrigger-designtrojantraining-attackspersistenceevasion
資料與訓練安全
AI 資料管線中的安全漏洞，涵蓋 RAG 利用、訓練資料攻擊、模型萃取與智慧財產盜竊，以及對已部署模型的隱私攻擊。
data-securityragtraining-attacksmodel-extractionprivacydata-poisoning
Backdoor Trigger Design
Methodology for designing effective backdoor triggers for LLMs, covering trigger taxonomy, poison rate optimization, trigger-target mapping, multi-trigger systems, evaluation evasion, and persistence through fine-tuning.
backdoortrigger-designtrojantraining-attackspersistenceevasion