Embedding and removing a dummy backdoor reduces unknown backdoor success in generative LLMs by targeting shared trigger-activated internal mechanisms.
Mind the style of text! adversarial and backdoor attacks based on text style transfer
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CR 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A lifecycle-based survey of LLM fine-tuning security that reviews attacks and defenses by intervention phase and reports unified empirical findings on model-dependent attack effectiveness and limited defense generalization.
citing papers explorer
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Dummy Backdoor as a Defense: Removing Unknown Backdoors via Shared Internal Mechanisms for Generative LLMs
Embedding and removing a dummy backdoor reduces unknown backdoor success in generative LLMs by targeting shared trigger-activated internal mechanisms.
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Security in the Fine-Tuning Lifecycle of Large Language Models: Threats, Defenses,Evaluation, and Future Directions
A lifecycle-based survey of LLM fine-tuning security that reviews attacks and defenses by intervention phase and reports unified empirical findings on model-dependent attack effectiveness and limited defense generalization.