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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs |
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Identification Number: |
doi:10.21979/N9/YPY0EB |
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Distributor: |
DR-NTU (Data) |
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Date of Distribution: |
2020-02-28 |
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Version: |
1 |
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Bibliographic Citation: |
Wang, Si, 2020, "Replication Data for: Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs", https://doi.org/10.21979/N9/YPY0EB, DR-NTU (Data), V1 |
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Citation |
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Title: |
Replication Data for: Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs |
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Identification Number: |
doi:10.21979/N9/YPY0EB |
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Authoring Entity: |
Wang, Si (Nanyang Technological University) |
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Software used in Production: |
MatCaffe |
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Software used in Production: |
Jupyter Notebook |
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Grant Number: |
Award: CHFA-GC1-AW01 |
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Distributor: |
DR-NTU (Data) |
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Access Authority: |
Wang Si |
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Depositor: |
Wang Si |
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Date of Deposit: |
2020-02-20 |
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Holdings Information: |
https://doi.org/10.21979/N9/YPY0EB |
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Study Scope |
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Keywords: |
Engineering, Engineering, deep learning security |
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Abstract: |
This dataset contains model file, program source code and the experimental data for the analysis of the paper " Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs". |
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Kind of Data: |
experimental data |
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Kind of Data: |
program source code |
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Kind of Data: |
textual file |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Identification Number: |
10.1109/ISCAS45731.2020.9180476 |
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Bibliographic Citation: |
Wang, S., Liu, W., & Chang, C. H. (2020). Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs. In 2020 IEEE International Symposium on Circuits and Systems (ISCAS) (pp. 1-5). IEEE. |
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Citation |
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Identification Number: |
10356/144346 |
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Bibliographic Citation: |
Wang, S., Liu, W., & Chang, C. H. (2020). Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs. In 2020 IEEE International Symposium on Circuits and Systems (ISCAS) (pp. 1-5). IEEE. |
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Label: |
DTmobilenet.ipynb |
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Text: |
source code to generate decision tree for mobilenet |
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Notes: |
application/x-ipynb+json |
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Label: |
DTvgg16.ipynb |
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Text: |
source code to generate decision tree for vgg16 |
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Notes: |
application/x-ipynb+json |
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Label: |
ISCASdata.tar.gz |
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Notes: |
application/gzip |