# api-abuse
3 articlestagged with “api-abuse”
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.
api-abuseuncensored-modelscontent-policydata-exfiltrationfine-tuningacceptable-use
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.
logit-biasapi-abusetoken-forcingsafety-bypassmodel-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.
samplingtemperaturetop-ptop-ksafety-bypassapi-abuse