# data-security
標記為「data-security」的 6 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.
Securing Storage Systems for Training Data
Attack and defense strategies for S3, GCS, HDFS, and object storage systems holding AI training datasets and model artifacts
Security Implications of Training Data Deduplication
Analysis of how deduplication algorithms create security vulnerabilities, including adversarial deduplication evasion, strategic duplicate injection, and hash collision attacks.
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。
Securing Storage Systems for 訓練 Data
攻擊 and defense strategies for S3, GCS, HDFS, and object storage systems holding AI training datasets and model artifacts
安全 Implications of 訓練 Data Deduplication
Analysis of how deduplication algorithms create security vulnerabilities, including adversarial deduplication evasion, strategic duplicate injection, and hash collision attacks.