A practical man-in-the-middle attack on deep learning edge device by sparse light strip injection into camera data lane
The vulnerability of deep neural networks (DNNs) has been exposed by adversarial examples. Although the adversarial perturbations can be made visually imperceptible or photorealistic on any image, they have to be added offline on pre-captured static input in order to accomplish the malicious goal. A...
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Main Authors: | Liu, Wenye, He, Weiyang, Hu, Bowen, Chang, Chip-Hong |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/165204 |
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Institution: | Nanyang Technological University |
Language: | English |
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