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Part 1: Document Description
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Citation |
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Title: |
Robust and Test accuracy of the IFA pipeline and the frequencies related |
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Identification Number: |
doi:10.7910/DVN/FKFJZQ |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2021-12-25 |
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Version: |
5 |
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Bibliographic Citation: |
Zhang, Jun-Jie; Zhang, Dong-Xiao; Chen, Jian-Nan; Pang, Long-Gang; Deyu Meng, 2021, "Robust and Test accuracy of the IFA pipeline and the frequencies related", https://doi.org/10.7910/DVN/FKFJZQ, Harvard Dataverse, V5 |
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Citation |
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Title: |
Robust and Test accuracy of the IFA pipeline and the frequencies related |
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Identification Number: |
doi:10.7910/DVN/FKFJZQ |
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Authoring Entity: |
Zhang, Jun-Jie (Northwest Institute of Nuclear Technology) |
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Zhang, Dong-Xiao (Northwest Institute of Nuclear Technology) |
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Chen, Jian-Nan (Northwest Institute of Nuclear Technology) |
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Pang, Long-Gang (2. Key Laboratory of Quark & Lepton Physics of Ministry of Education, Central China Normal University) |
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Deyu Meng (Xi'an Jiaotong University) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Zhang, Jun-Jie |
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Depositor: |
Zhang, Jun-Jie |
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Date of Deposit: |
2021-12-25 |
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Holdings Information: |
https://doi.org/10.7910/DVN/FKFJZQ |
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Study Scope |
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Keywords: |
Computer and Information Science, Physics, IFA, frequency of neural networks, robust accuracy |
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Abstract: |
The files contains the data for the plot in the plot.nb file. Six figures are generated from these data. Two figures are about the test and robust accuracy of the neural networks. Two figures are about the relation between the frequency and the accuracy of the training set. One figure is about the relation between frequency and test accuracy. One figure is about the relation of accuracy and iteration in IFA pipeline. |
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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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Label: |
avaibility.rar |
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Text: |
This is the data and the code for the paper "On the uncertainty principle of neural networks". |
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Notes: |
application/x-rar-compressed |
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binary classificatin.rar |
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Notes: |
application/x-compressed |
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cifar classification.rar |
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application/x-compressed |
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input and grad corelation.rar |
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application/x-compressed |
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LLM.rar |
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Notes: |
application/x-compressed |
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mnist and cifar various attack.rar |
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Notes: |
application/x-compressed |