Today at ISSCC, our Green IC group at NUS is humbled (and happy at the same time) to have received the ISSCC 2022 Takuo Sugano Award for Outstanding Far-East Paper for the paper entitled “Side-Channel Attack Counteraction via Machine Learning- Targeted Power Compensation for Post-Silicon HW Security Patching”.
The paper presents the first machine learning-based trainable protection against side-channel attacks, and enables for the first time “hardware patching” capabilities. In other words, silicon chips are patched throughout their lifetime to fix newly discovered vulnerabilities (like software patches, but in hardware).
The work carried out at NUS (Singapore) has been authored by Qiang Fang, Longyang Lin, Yao Zu Wong, Hui Zhang, and Massimo Alioto. To know more, feel free to explore the related materials in the chip gallery and the video section in this website, and the following links:
– https://lnkd.in/gQp92nxc
– https://www.green-ic.org/
– https://lnkd.in/ggsi97KH
– https://lnkd.in/gg3zE96r
– https://lnkd.in/gq-i3zyr
– https://lnkd.in/gUVXMRAr
– https://lnkd.in/gEVtRbWb