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Yi-Shun Lu

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Preprint Aug 2026

Detecting Contaminated Code-Generation Prompt Batches via Influence Functions

Large language models (LLMs) are increasingly used for code generation, yet they remain vulnerable to prompts that elicit insecure implementations. Existing defenses typically rely on predefined threat models or known vulnerability patterns, limiting their effectiveness against novel attacks. We propose CodeSIFT, a thr...

Francesco Quinzan, Noor Munir, Yi-Shun Lu et al. · 0 citations

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