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Plain Text - 3.5 KB -
MD5: fddea662a7a1282181d00325a02e4ffa
Bremsstrahlung differential cross section |
Plain Text - 3.5 KB -
MD5: f33ab89cc33bf9692a74fc8018e0ab6a
Bremsstrahlung differential cross section |
Plain Text - 3.5 KB -
MD5: a89a08e649d938e652f6104ce86653b5
Bremsstrahlung differential cross section |
Plain Text - 3.4 KB -
MD5: 7c7251eede8b861ea55bb43e47a65bcf
Bremsstrahlung differential cross section |
Oct 17, 2024
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Oct 16, 2024 - WANG Si
Wang, Si; Liu, Wenye; Chang, Chip-Hong, 2024, "Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network", https://doi.org/10.21979/N9/8LWB8D, DR-NTU (Data), V1
This dataset contains shell scripts for configurable glitch injection through GPIO as well as the decision tree detector. It also contains partial program source code for glitch control and the corresponding generated bitstream. |
Oct 16, 2024 -
Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network
Unknown - 17.2 MB -
MD5: a131ba782493e06d6cf07cfad36d904a
Xilinx bitstreams with circuitries required for glitch injection |
Oct 16, 2024 -
Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network
Shell Script - 84 B -
MD5: 1500915f054be3430daf49aaab821d94
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Oct 16, 2024 -
Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network
Shell Script - 84 B -
MD5: c655752909506256429c5eea267ef396
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Oct 16, 2024 -
Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network
Shell Script - 154 B -
MD5: 8625f7fea6cfa962db7be333d00f6bad
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