Please use this identifier to cite or link to this item: https://doi.org/10.1109/ISSCC42614.2022.9731755
Title: Side-Channel Attack Counteraction via Machine Learning-Targeted Power Compensation for Post-Silicon HW Security Patching
Authors: Qiang Fang
LIN LONGYANG 
YAO ZU WONG 
Hui Zhang
Alioto,Massimo Bruno 
Issue Date: 17-Mar-2022
Publisher: IEEE
Citation: Qiang Fang, LIN LONGYANG, YAO ZU WONG, Hui Zhang, Alioto,Massimo Bruno (2022-03-17). Side-Channel Attack Counteraction via Machine Learning-Targeted Power Compensation for Post-Silicon HW Security Patching. 2022 IEEE International Solid- State Circuits Conference (ISSCC). ScholarBank@NUS Repository. https://doi.org/10.1109/ISSCC42614.2022.9731755
Related Dataset(s): 10.1109/ISSCC42614.2022.9731755
Source Title: 2022 IEEE International Solid- State Circuits Conference (ISSCC)
URI: https://scholarbank.nus.edu.sg/handle/10635/225716
DOI: 10.1109/ISSCC42614.2022.9731755
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