Saeed Aghapour
1 indexed paper
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126
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Crypto×1ML×1
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2026
MAED: Mathematical Activation Error Detection for Mitigating Physical Fault Attacks in DNN Inference
The paper proposes MAED, a novel algorithm-level error detection framework that uses mathematical identities to continuously validate non-linear activation functions, achieving high fault detection rates with minimal overhead on embedded hardware.
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