Jakub Breier
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This paper introduces Anderson-Darling Leakage Assessment (ADLA), a superior side-channel leakage detection method that tests full distributional differences, showing improved sensitivity over the standard TVLA, especially in protected neural network implementations.
The paper proposes a constant-time implementation methodology for activation functions on microcontrollers to prevent timing side-channel attacks during embedded neural-network inference.
The paper systematically characterizes the fault response of the Intel NCS2 accelerator to electromagnetic fault injection, revealing a major degradation mode that is undetectable by standard inference-API-level integrity checks.
Papers
A Constant-Time Implementation Methodology for Activation Functions on Microcontrollers
The paper proposes a constant-time implementation methodology for activation functions on microcontrollers to prevent timing side-channel attacks during embedded neural-network inference.