A new lightweight in-situ adversarial sample detector for edge deep neural network

The flourishing of Internet of Things (IoT) has rekindled on-premise computing to allow data to be analyzed closer to the source. To support edge Artificial Intelligence (AI), hardware accelerators, open-source AI model compilers and commercially available toolkits have evolved to facilitate the de...

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Main Authors: Wang, Si, Liu, Wenye, Chang, Chip-Hong
其他作者: School of Electrical and Electronic Engineering
格式: Article
語言:English
出版: 2021
主題:
在線閱讀:https://hdl.handle.net/10356/148567
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機構: Nanyang Technological University
語言: English