AINeutralarXiv – CS AI · 14h ago6/10
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The Weight of a Bit: EMFI Sensitivity Analysis of Embedded Deep Learning Models
Researchers demonstrate that embedded neural network models using integer representations (8-bit and 4-bit) are significantly more resilient to electromagnetic fault injection attacks than floating-point formats (32-bit and 16-bit). The study reveals that floating-point models experience near-complete accuracy degradation from a single fault, while 8-bit integer representations maintain robust performance, with implications for securing AI systems deployed on edge devices.