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: | , , |
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格式: | Article |
語言: | English |
出版: |
2021
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在線閱讀: | https://hdl.handle.net/10356/148567 |
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機構: | Nanyang Technological University |
語言: | English |