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How Fragile Is On-Device Language Model Safety? Localizing Safety-Critical Parameters for Sparse Fault Analysis

Karamat, Muhammad Zeeshan et al.
arXiv (All) · Papers
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computation-and-languagecryptography-and-securitymachine-learningsoftware-engineering
As small language models (SLMs) are increasingly deployed on resource-constrained and on-device platforms, including as components of agentic systems, the integrity of locally stored model parameters becomes an important safety concern. We investigate whether safety-sensitive behavior in LLaMA-2-7B-
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