VIRTUS, IC Design Centre of Excellence

VIRTUS, the IC design centre of Excellence is jointly funded by Nanyang Technological University (NTU) and Singapore Economic Development Board (EDB). Since its inception five years ago, the centre has a strong support from the industry with close collaboration with leading IC Design companies in Singapore and universities worldwide.

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Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network 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.
glitch.bin 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
glitch_en0.sh 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
glitch_en1.sh 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
glitch_reprogram.sh 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
glitch_reset.sh Oct 16, 2024 - Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network Shell Script - 123 B - MD5: 0d542e85b5042c2fb3b566fd2ade4e99
resnet50 Oct 16, 2024 - Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network Unknown - 25.1 MB - MD5: 47335517383e8de403c60a8f1b9aa6b2 model file
resnet50_end_to_end_multi_imgs_classical.sh Oct 16, 2024 - Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network Shell Script - 14.8 KB - MD5: 2c71960887ccff0833259c285466edcc classical decision tree detector implementation for resnet50
resnet50_end_to_end_multi_imgs_clean.sh Oct 16, 2024 - Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network Shell Script - 492 B - MD5: c8e04f6db5423eb36d7107551916673f resnet50 model implementation without glitch injection
resnet50_end_to_end_multi_imgs_lightgbm.sh Oct 16, 2024 - Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network Shell Script - 7.9 KB - MD5: 4ead428dd94fa887182c844526857950 lightgbm detector implementation for resnet50

Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network

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.

glitch.bin

Oct 16, 2024 - Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network

Unknown - 17.2 MB -

Xilinx bitstreams with circuitries required for glitch injection

glitch_en0.sh

Oct 16, 2024 - Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network

Shell Script - 84 B -

glitch_en1.sh

Oct 16, 2024 - Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network

Shell Script - 84 B -

glitch_reprogram.sh

Oct 16, 2024 - Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network

Shell Script - 154 B -

glitch_reset.sh

Oct 16, 2024 - Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network

Shell Script - 123 B -

resnet50

Oct 16, 2024 - Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network

Unknown - 25.1 MB -

model file

resnet50_end_to_end_multi_imgs_classical.sh

Oct 16, 2024 - Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network

Shell Script - 14.8 KB -

classical decision tree detector implementation for resnet50

resnet50_end_to_end_multi_imgs_clean.sh

Oct 16, 2024 - Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network

Shell Script - 492 B -

resnet50 model implementation without glitch injection

resnet50_end_to_end_multi_imgs_lightgbm.sh

Oct 16, 2024 - Related Data for: A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network

Shell Script - 7.9 KB -

lightgbm detector implementation for resnet50

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