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Found 4 papers, 1 papers with code
BadEdit: Backdooring large language models by model editing
It boasts superiority over existing backdoor injection techniques in several areas: (1) Practicality: BadEdit necessitates only a minimal dataset for injection (15 samples).
Multi-target Backdoor Attacks for Code Pre-trained Models
We evaluate our approach on two code understanding tasks and three code generation tasks over seven datasets.
CommitBART: A Large Pre-trained Model for GitHub Commits
GitHub commits, which record the code changes with natural language messages for description, play a critical role for software developers to comprehend the software evolution.
Unveiling Project-Specific Bias in Neural Code Models
We propose a Cond-Idf measurement to interpret this behavior, which quantifies the relatedness of a token with a label and its project-specificness.
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