2020 Fiscal Year Annual Research Report
Data Mining for Graphs and Networks via Local Intrinsic Dimensional Modeling
| Project/Area Number |
18H03296
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| Research Institution | National Institute of Informatics |
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Principal Investigator |
Michael E.Houle 国立情報学研究所, 大学共同利用機関等の部局等, 客員教授 (90399270)
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| Project Period (FY) |
2018-04-01 – 2021-03-31
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| Keywords | 高次元空間 / 極値理論 / データマイニング / 機械学種 / ニューラルネットワーク |
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| Outline of Annual Research Achievements |
1. A refereed publication at a top international conference (SDM 2021) on the use of local intrinsic dimensionality (LID) on the problem of out-of-distribution detection in deep learning. LID is used as a feature to characterize the data subspaces formed by data samples and their corresponding reconstruction by autoencoders.
2. A refereed publication in the top journal IEEE Transactions on Information Forensics and Security, in which the full details of a theoretical analysis is given showing that the vulnerability of classification to adversarial perturbation increases as the local intrinsic dimensionality rises.
3. A refereed international conference publication (at SISAP 2020) on a theoretical aspect of the LID model, on the use of similarity measures in determining density ratios between two localities in distance distributions. This work lays the first theoretical and practical foundations for density-based outlier detection that properly takes into account the effects of variation in local intrinsic dimension.
4. The funding for this project was intended to support collaborative research visits among partners from Japan and 5 countries (Australia, Denmark, France, Serbia, and the United States), and conference travel for the reporting of research results. However, as travel has been disrupted due to the COVID-19 pandemic, funds have gone unused, and (due to difficult circumstances for most of the participants) projects have been delayed. For this reason, most of the projects planned for 2020 will fully resume only after the end of the pandemic.
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| Research Progress Status |
令和2年度が最終年度であるため、記入しない。
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| Strategy for Future Research Activity |
令和2年度が最終年度であるため、記入しない。
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Research Products
(8 results)
