Characterizing the Fault Response of the Intel Neural Compute Stick 2 Under Single-Pulse Electromagnetic Fault Injection
arXiv:2605.22437v1 Announce Type: cross Abstract: Vision processing units and other commercial neural-network inference accelerators are increasingly deployed in safety-relevant edge applications, but their fault response under transient hardware disturbances remains poorly characterized in the open literature. For the Intel Movidius Myriad X, packaged as the Intel Neural Compute Stick 2 (NCS2), only a single feasibility study has been published. We report a systematic single-pulse electromagnetic fault injection (EMFI) campaign on the NCS2 running three ImageNet-trained convolutional neural n
The increasing deployment of AI accelerators in critical 'edge' applications necessitates a deeper understanding of their resilience to hardware faults, driven by the rapid expansion of AI in real-world systems.
As AI systems move into safety-relevant and mission-critical roles, their robustness against physical attacks and transient hardware disturbances becomes a paramount concern for system reliability and security.
This research provides a more systematic characterization of AI hardware's fault response, moving beyond feasibility studies to enable more secure and reliable deployments of AI accelerators in critical infrastructure.
- · AI hardware manufacturers focused on security
- · Defense and aerospace sectors using AI
- · Critical infrastructure operators
- · Cybersecurity firms
- · AI hardware manufacturers with vulnerable designs
- · Developers of insecure edge AI applications
- · Adversaries relying on electromagnetic fault injection attacks
Systematic characterization of AI hardware vulnerabilities informs the design of more resilient and secure AI accelerators.
Improved hardware security in AI leads to greater trust and accelerated adoption of AI in safety-critical applications across various industries.
The development of robust, fault-tolerant AI hardware becomes a competitive advantage, potentially influencing geopolitical balances in AI leadership and defense capabilities.
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