Fault-injection based attacks and countermeasure on deep neural network accelerators
The rapid development of deep learning accelerator has unlocked new applications that require local inference at the edge device. However, this trend of development to facilitate edge intelligence also invites new hardware-oriented attacks, which are different from and have more dreadful impact than...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/152080 |
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| Institution: | Nanyang Technological University |
| Language: | English |