50 citations · 112 across the 15 of their papers we have counts for
6 papers · 1 filter
Automotive Hardware Attacks: An Architect's Guide to TARA
Jakub Breier, Xiaolu Hou
Threat analysis and risk assessment (TARA) according to ISO/SAE 21434 treats implementation-level hardware attacks inconsistently. We show that two of the three attack-feasibility…
Guess My Weight: Profiled Side-Channel Recovery of Floating-Point Neural-Network Weights
Timon Lumír Fillo, Ján Mikulec, Anubhab Baksi +2
Neural-network parameters deployed on embedded devices may be exposed through physical side-channel leakage during inference. Existing side-channel attacks on floating-point neural…
A Constant-Time Implementation Methodology for Activation Functions on Microcontrollers
Andrii Tyvodar, Andreas Rechberger, Dirmanto Jap +4
Embedded neural-network inference can leak information through timing side channels, including leakage caused by the evaluation of activation functions. This work proposes a consta…
Characterizing the Fault Response of the Intel Neural Compute Stick 2 Under Single-Pulse Electromagnetic Fault Injection
Štefan Kučerák, Jakub Breier, Xiaolu Hou
Vision processing units and other commercial neural-network inference accelerators are increasingly deployed in safety-relevant edge applications, but their fault response under tr…
Beyond TVLA: Anderson-Darling Leakage Assessment for Neural Network Side-Channel Leakage Detection
Ján Mikulec, Jakub Breier, Xiaolu Hou
Test Vector Leakage Assessment (TVLA) is widely used for side-channel leakage detection, but its reliance on Welch's t-test makes it primarily sensitive to differences in the means…
The Weight of a Bit: EMFI Sensitivity Analysis of Embedded Deep Learning Models
Jakub Breier, Štefan Kučerák, Xiaolu Hou
Fault injection attacks on embedded neural network models have been shown as a potent threat. Numerous works studied resilience of models from various points of view. As of now, th…