CodeTracer attributes backdoored code completions to responsible fine-tuning examples via structured behavioral fingerprints, embedding retrieval, and LLM semantic reasoning under realistic post-deployment constraints.
Contextcite: Attributing model generation to context
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
representative citing papers
AttnTrace is an attention-weight-based context traceback method for LLMs that claims higher accuracy and efficiency than prior art like TracLLM while aiding prompt injection detection.
citing papers explorer
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Beware What You Autocomplete: Forensic Attribution of Backdoored Code Completions
CodeTracer attributes backdoored code completions to responsible fine-tuning examples via structured behavioral fingerprints, embedding retrieval, and LLM semantic reasoning under realistic post-deployment constraints.
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AttnTrace: Contextual Attribution of Prompt Injection and Knowledge Corruption
AttnTrace is an attention-weight-based context traceback method for LLMs that claims higher accuracy and efficiency than prior art like TracLLM while aiding prompt injection detection.