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arXiv — cs.AI

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

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…

arXiv — cs.AIBy: Muhammad Zeeshan Karamat, Christiana Chamon GarciaOctober 8, 2026 (Oct 8)
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AI Summary & Key Takeaways

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

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