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BitFlipScope: Scalable Fault Localization and Recovery for Bit-Flip Corruptions in LLMs

Karamat, Muhammad Zeeshan et al.
arXiv (All) · Papers
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and-cluster-computingcryptography-and-securitydistributedhardware-architecturemachine-learningparallel
Large Language Models (LLMs) deployed in practical and safety-critical settings are increasingly susceptible to bit-flip faults caused by hardware degradation, cosmic radiation, or deliberate fault-injection attacks such as Rowhammer. These faults silently corrupt internal parameters and can lead to
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