Thermal Side Channels Create New Security Risks For Autonomous Vehicles (Missouri S&T)

Academic paper assesses side-channel threats to autonomous driving systems

By GPU Data Hub Desk · GPU Data Hub·Editorial standards·18 Oct 2026, 22:10·United States

Academics from the Missouri University of Science and Technology have compiled a study detailing how thermal side channels pose emerging security threats to self-driving systems. The research categorises multiple existing works across areas including telemetry leakage, model extraction, and sensor perception interference. The findings provide a framework assessing these hardware vulnerabilities based on factors such as required privileges and deployment feasibility.

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This summary was written by the GPU Data Hub desk from reporting published by Semiconductor Engineering on 18 Oct 2026, 22:10. Read the full article at the original publisher.

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autonomous vehicles side-channel attacks hardware security model extraction

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