# api-abuse
標記為「api-abuse」的 6 篇文章
Fine-Tuning API Abuse
How fine-tuning APIs are abused to create uncensored models, circumvent content policies, and attempt training data exfiltration -- the gap between acceptable use policies and technical enforcement.
Logit Bias Exploitation
How API logit bias parameters can be abused to force specific token generation, bypass safety alignment, suppress refusal tokens, and extract model behavior through systematic probing.
Sampling Parameter Attacks
How manipulation of temperature, top-p, top-k, frequency penalties, and seed parameters can degrade safety alignment, enable reproducibility attacks, and bypass content filtering.
Fine-Tuning API Abuse
How fine-tuning APIs are abused to create uncensored models, circumvent content policies, and attempt training data exfiltration -- the gap between acceptable use policies and technical enforcement.
Logit Bias 利用ation
How API logit bias parameters can be abused to force specific token generation, bypass safety alignment, suppress refusal tokens, and extract model behavior through systematic probing.
Sampling Parameter 攻擊s
How manipulation of temperature, top-p, top-k, frequency penalties, and seed parameters can degrade safety alignment, enable reproducibility attacks, and bypass content filtering.