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Defending AI Accelerators from SCAs by shamzeus23 is a document available to read on EtoBox.

What is Defending AI Accelerators from SCAs about?

The document presents AIAShield, a novel defense methodology designed to protect FPGA-based AI accelerators from machine learning-based power side-channel attacks. By leveraging adversarial attack techniques, AIAShield generates fine-grained noise to obfuscate side-channel observations while minimizing execution overhead. Extensive experiments demonstrate that AIAShield significantly outperforms existing solutions in terms of model extraction accuracy degradation and transferability.

Author

shamzeus23

Language

EN