# contamination
標記為「contamination」的 6 篇文章
Data Provenance and Lineage
Tracking data through ML pipelines, detecting contamination, verifying data integrity, and implementing provenance systems for training data security.
Synthetic Data Poisoning
Attacking synthetic data generation pipelines to produce poisoned training sets, including generator manipulation, prompt poisoning, and contamination amplification.
Evaluation Set Contamination Attacks
Attacking evaluation benchmarks and test sets to create false impressions of model safety and capability.
Data Provenance and Lineage
Tracking data through ML pipelines, detecting contamination, verifying data integrity, and implementing provenance systems for training data security.
Synthetic Data 投毒
攻擊ing synthetic data generation pipelines to produce poisoned training sets, including generator manipulation, prompt poisoning, and contamination amplification.
Evaluation Set Contamination 攻擊s
攻擊ing evaluation benchmarks and test sets to create false impressions of model safety and capability.