AST-PAC Enhances Code MIA with AST Guidance
π‘Syntax-aware MIA tool audits code LLMs' data usageβkey for compliance (62 chars)
β‘ 30-Second TL;DR
What Changed
Evaluates Loss and PAC MIAs on 3B-7B code models
Why It Matters
AST-PAC advances auditing of unauthorized code usage in LLMs, supporting data governance and copyright compliance. It highlights gaps in current MIAs, pushing for domain-specific tools in code provenance.
What To Do Next
Implement AST-PAC perturbations in your MIA pipeline to test code LLM training data provenance.
Key Points
- β’Evaluates Loss and PAC MIAs on 3B-7B code models
- β’PAC fails on complex code due to invalid syntax augmentations
- β’AST-PAC generates syntactically valid samples via AST perturbations
- β’AST-PAC improves on large syntactic files but underperforms on small/alphanumeric code
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Original source: ArXiv AI β
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