Welcome to the resource topic for 2025/1431
Title:
Multi-Partner Project: Securing Future Edge-AI Processors in Practice (CONVOLVE)
Authors: Sven Argo, Henk Corporaal, Alejandro Garza, Marc Geilen, Manil Dev Gomony, Tim Güneysu, Adrian Marotzke, Fouwad Mir, Christian Larmann, Jan Richter-Brockmann, Jeffrey Smith, Mottaqiallah Taouil, Said Hamdioui
Abstract:Artificial Intelligence (AI) has had a profound impact
on our contemporary society, and it is indisputable that it will
continue to play a significant role in the future. To further enhance
AI experience and performance, a transition from large-scale
server applications towards AI-powered edge devices is inevitable.
In fact, current projections indicate that the market for Smart
Edge Processors (SEPs) will grow beyond 70 Billion USD by
2026 [1]. Such a shift comes with major challenges, as these devices
have limited computing and energy resources yet need to be
highly performant. Additionally, security mechanisms need to be
implemented to protect against diverse attack vectors as attackers
now have physical access to the device. Besides cryptographic keys,
Intellectual Property (IP), including neural network weights, may
also be potential targets.
The CONVOLVE [2] project (currently in its intermediate
stage) follows a holistic approach to address these challenges and
establish the EU in a leading position in embedded, ultra-low-
power and secure processors for edge computing. It encompasses
novel hardware technologies, end-to-end integrated workflows,
and a security-by-design approach. This paper highlights the
security aspects of future edge-AI processors by illustrating
challenges encountered in CONVOLVE, the solutions we pursue
including some early results, and directions for future research.
ePrint: https://eprint.iacr.org/2025/1431
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