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Code LLMs can be reliably poisoned to generate vulnerable code by subtly manipulating the style of the input prompt, even while maintaining strong performance on standard benchmarks.
Steer LLMs toward high-risk code branches with 2x better accuracy using graph-structured code representations, unlocking more effective bug and vulnerability discovery.
