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Bit flip attack-guided mixed-precision neural network quantization

delete2025-11-10
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PRE
AI
Y
Yafeng Sun
王兴旺 (Xingwang Wang)
S
Shilin Chen
H
Haixiao Xu
DOI:10.1016/j.knosys.2025.114811delete
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Abstract

Abstract

En 中文
• Discover the advantageous impact of the bit flip attack on the mixed precision quantization. • Obtain the sensitivity indicator for each layer using the layer-by-layer bit flip attack. • Utilize the evolutionary algorithm to quickly search for the optimal mixed precision quantization strategy.

Journal

K
Knowledge-Based Systems
IF:
7.6
Papers:
1.2W
Citations:
4.5W

Organization

J
Jilin University
Scholars:
8.6W
Papers: 5.5W
Citations: 8.9K