Yi-Shun Lu

Detecting Contaminated Code-Generation Prompt Batches via Influence Functions

The proposed CodeSIFT, a threat-model-agnostic detection method that leverages influence functions to identify batches of prompts that induce anomalous model behavior, suggests that influence-function-based detection is a promising direction for identifying malicious code-generation prompts without requiring prior know...