KAKEN — Research Projects | Researcher Number: 10509871

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1. Understanding Attack Mechanisms against AI through Causal Structures of Classification and Building Countermeasures

Research Project

Research Category	Grant-in-Aid for Scientific Research (A)
Review Section	Medium-sized Section 61:Human informatics and related fields
Research Institution	Tokyo Institute of Technology
Principal Investigator	佐久間淳東京工業大学, 情報理工学院, 教授
Project Period (FY)	2023-04-01 – 2028-03-31Granted
Keywords	深層学習 / 機械学習 / 敵対的サンプル / ポイズニング / 因果構造
Outline of Research at the Start	深層学習による画像認識が社会のインフラを構成するような重要なシステムにおける活用が進むにつれ、悪意を持つ攻撃者によって深層学習の与える判断がコントロールされた場合の影響は深刻になる。既存のAIへの攻撃に対する防御戦略の多くは、攻撃者の挙動のモデル化に基づき防御を達成するため、攻撃者が防御戦略について ...

2. Bioethics in AI - Overall Perspective and Direction for Future Researches in This Field

Research Project

Research Category	Grant-in-Aid for Challenging Research (Exploratory)
Review Section	A New Phase of Our Advanced Science and Technology Society
Research Institution	Shiga University
Principal Investigator	位田隆一滋賀大学, 滋賀大学, 名誉教授
Project Period (FY)	2020-07-30 – 2024-03-31Granted
Keywords	AI / 生命倫理 / 個人情報保護 / 責任 / 同意 / リスク / 医療データ / ＡＩ / ELSI / 仮名化 / 医療機器 / ＥＬＳＩ / 診断 / データ
Outline of Research at the Start	現代の医学・生命科学の分野においては様々な形で診療や研究にAIが導入され、展開は急速である。AIによる社会への影響の膨大さに鑑み、ELSIの発生について、医学・生命科学分野でのAIに関わるELSIの全体像を、国際的な状況も踏まえ、現在及び将来的発展をも想定して構築した上で、具体的な課題と対応を検討す ...
Outline of Annual Research Achievements	コロナ禍による行動制限が徐々に緩和され、研究の進行も通常に戻りつつあるが、海外調査を行うには準備が整わず、シンポジウムへの海外からの研究者招へいに留まった。班会議は従来通りオンラインで行った。日本生命倫理学会年次大会と年度末の国際シンポジウムで研究成果を公開した。
Current Status of Research Progress	3: Progress in research has been slightly delayed.

Research Products of this project	Int'l Joint Research (1 results) Journal Article (2 results, of which Peer Reviewed: 1 results, Open Access: 1 results) Presentation (1 results) Remarks (1 results) Funded Workshop (1 results)

3. 未観測共通原因が存在する場合の巡回因果モデル推定法の研究と応用

Research Project

Research Category	Grant-in-Aid for Scientific Research (C)
Review Section	Basic Section 60030:Statistical science-related
Research Institution	Shiga University
Principal Investigator	清水昌平滋賀大学, データサイエンス学系, 教授
Project Period (FY)	2020-04-01 – 2025-03-31Granted
Keywords	因果探索 / 説明性 / 制御 / 最適介入 / 個体レベル / 統計的因果推論 / 統計的因果探索 / 因果推論
Outline of Research at the Start	実質科学の主目的は、因果関係の解明である。介入を伴う実験を行うことができれば分析は比較的シンプルになるが、多くの応用領域において倫理やコストの観点から介入実験を行うことは難しい。そこで本提案では、介入を伴う実験によって得られたのではない観察データから、観測変数間の因果構造を推定するための統計解析法 ...
Outline of Annual Research Achievements	因果探索パッケージの開発
Current Status of Research Progress	2: Research has progressed on the whole more than it was originally planned.

Research Products of this project	Int'l Joint Research (3 results) Journal Article (9 results, of which Int'l Joint Research: 5 results, Peer Reviewed: 9 results, Open Access: 7 results) Presentation (17 results, of which Int'l Joint Research: 5 results, Invited: 7 results) Book (1 results)

4. Developing "happy aging community"by integrated health data

Research Project

Research Category	Grant-in-Aid for Scientific Research (B)
Research Field	Intensification of Artifact Systems
Research Institution	Kyoto University
Principal Investigator	Fukuma Shingo 京都大学, 医学研究科, 特定准教授
Project Period (FY)	2017-07-18 – 2020-03-31Completed
Keywords	疫学 / 介護予防 / 人工物システム / 高齢者 / IoT / ヘルスシステム / 健康コミュニティ / ヘルスデータ / 臨床疫学 / 老年医学 / 情報デザイン
Outline of Final Research Achievements	By incorporating the perspective of technology acceptance, which implements ICT in our lives, and communication design, which effectively shares the k ...

Research Products of this project	Journal Article (1 results) Presentation (5 results, of which Invited: 5 results) Remarks (3 results)

5. Causal discovery in the presence of hidden confounding variables for data with heterogeneity

Research Project

Research Category	Grant-in-Aid for Scientific Research (C)
Research Field	Statistical science
Research Institution	Shiga University
Principal Investigator	Shimizu Shohei 滋賀大学, データサイエンス学部, 教授
Project Period (FY)	2016-04-01 – 2020-03-31Completed
Keywords	因果探索 / 因果構造 / 観察データ / 未観測共通原因 / 異質性 / 統計的因果推論 / 構造的因果モデル / 因果構造探索
Outline of Final Research Achievements	LiNGAM model handles only continuous variables. To represent heterogeneity, we tried to extend the LiNGAM model so that it can handle discrete variabl ...

Research Products of this project	Int'l Joint Research (5 results) Journal Article (12 results, of which Int'l Joint Research: 5 results, Peer Reviewed: 12 results, Open Access: 5 results) Presentation (13 results, of which Int'l Joint Research: 5 results, Invited: 11 results) Book (2 results) Remarks (3 results)

6. Multivariate analysis of multi-domain data considering the association between data vectors

Research Project

Research Category	Grant-in-Aid for Scientific Research (B)
Research Field	Statistical science
Research Institution	Kyoto University (2017-2019) Osaka University (2016)
Principal Investigator	Shimodaira Hidetoshi 京都大学, 情報学研究科, 教授
Project Period (FY)	2016-04-01 – 2020-03-31Completed
Keywords	多変量解析 / パターン認識 / グラフ埋め込み / 次元削減 / 分散表現 / ニューラルネットワーク / マルチモーダル / 自然言語処理 / 漸近理論 / 画像検索
Outline of Final Research Achievements	Multi-domain association data consists of data vectors from various types of sources (called domains), such as images, tags, documents, etc., and the ...

Research Products of this project	Journal Article (15 results, of which Peer Reviewed: 15 results, Open Access: 9 results) Presentation (48 results, of which Int'l Joint Research: 17 results, Invited: 2 results) Remarks (1 results)

7. Model Mining: Exploration of search and enumeration methods of local models from super-high dimensional data

Research Project

Research Category	Grant-in-Aid for Challenging Exploratory Research
Research Field	Intelligent informatics
Research Institution	Osaka University
Principal Investigator	Washio Takashi 大阪大学, 産業科学研究所, 教授
Project Period (FY)	2014-04-01 – 2016-03-31Completed
Keywords	データマイニング / 機械学習 / ビッグデータ / モデリング / 高次元データ / サンプリング / アンサンブル / アンサンブル学習 / 心疾患モデル / 列挙探索 / 超高次元データ / 大規模データ
Outline of Final Research Achievements	This study aimed at the exploration of model mining principles, which enable fast search of candidate models representing sub-processes embedded in su ...

Research Products of this project	Int'l Joint Research (1 results) Journal Article (3 results, of which Int'l Joint Research: 1 results, Peer Reviewed: 3 results, Acknowledgement Compliant: 2 results, Open Access: 1 results) Presentation (5 results, of which Int'l Joint Research: 1 results)

8. Development and Application of Statistical Estimation and Simulation for Super High Dimensional Data Space

Research Project

Research Category	Grant-in-Aid for Scientific Research (A)
Research Field	Intelligent informatics
Research Institution	Osaka University
Principal Investigator	Washio Takashi 大阪大学, 産業科学研究所, 教授
Project Period (FY)	2013-04-01 – 2017-03-31Completed
Keywords	超高次元データ / 機械学習 / データマイニング / 人工知能 / 次元の呪い / シミュレーション / 希少事象 / 統計的推定 / 粒子フィルタ / 知識発見
Outline of Final Research Achievements	In this study, we aimed to develop (1) generic and robust principles of statistical estimation and scenario generation against super high dimensionali ...

Research Products of this project	Int'l Joint Research (9 results) Journal Article (13 results, of which Int'l Joint Research: 6 results, Peer Reviewed: 12 results, Acknowledgement Compliant: 6 results, Open Access: 5 results) Presentation (20 results, of which Int'l Joint Research: 7 results, Invited: 4 results) Book (1 results)

9. Estimation of high-dimensional causal networks based on multiple datasets and its applications to biomedical science

Research Project

Research Category	Grant-in-Aid for Young Scientists (B)
Research Field	Statistical science
Research Institution	Osaka University
Principal Investigator	Shimizu Shohei 大阪大学, 産業科学研究所, 准教授
Project Period (FY)	2012-04-01 – 2016-03-31Completed
Keywords	因果探索 / 非ガウス性 / 構造方程式モデル / 複数データセット / 因果構造探索 / 国際情報交換 / 米国 / 潜在共通原因 / 因果推論 / 因果方向推定 / 非ガウス / LiNGAM
Outline of Final Research Achievements	We developed an estimation principle and estimation algorithms to estimate LiNGAM models from multiple datasets for causal structure learning. Moreove ...

Research Products of this project	Int'l Joint Research (2 results) Journal Article (5 results, of which Peer Reviewed: 5 results, Acknowledgement Compliant: 3 results, Open Access: 1 results) Presentation (24 results, of which Int'l Joint Research: 4 results, Invited: 14 results) Remarks (3 results)

10. Learning Probabilistic Simulation Models for Rare Event/Condition Occurrence

Research Project

Research Category	Grant-in-Aid for Challenging Exploratory Research
Research Field	Intelligent informatics
Research Institution	Osaka University
Principal Investigator	WASHIO Takashi 大阪大学, 産業科学研究所, 教授
Project Period (FY)	2012-04-01 – 2014-03-31Completed
Keywords	知識発見 / データマイニング / 確率モデル / 機械学習 / 希少事象 / 災害 / 希少事象解析 / 希少事象シミュレーション / マルコフチェインモンテカルロ / 統計的推定 / 確率的シミュレーション / 希少シナリオ / 大規模洪水 / 河川水流モデル / 降雨確率モデル
Research Abstract	Various approaches for learning probabilistic models from given data and background knowledge have been studied in the past, however, studies on the p ...

Research Products of this project	Journal Article (4 results, of which Peer Reviewed: 3 results) Presentation (11 results, of which Invited: 1 results) Book (1 results)

11. Computing confidence levels of many hypotheses for high-dimensional data

Research Project

Research Category	Grant-in-Aid for Scientific Research (B)
Research Field	Statistical science
Research Institution	Osaka University
Principal Investigator	Shimodaira Hidetoshi 大阪大学, 基礎工学研究科, 教授
Project Period (FY)	2012-04-01 – 2016-03-31Completed
Keywords	ブートストラップ / リサンプリング / スケーリング則 / 仮説検定 / モデル選択 / 情報幾何 / 高次漸近理論 / 多変量解析 / クロスバリデーション / 因果推論 / ダイバージェンス / 統計的推測 / GPGPU / ブートストラップ・リサンプリング / ベイズ統計 / マルチスケール / 分子系統学
Outline of Final Research Achievements	Bootstrap method has a large approximation error for computing a confidence level by resampling from data. For computing confidence levels with higher ...

Research Products of this project	Journal Article (19 results, of which Peer Reviewed: 19 results, Open Access: 1 results, Acknowledgement Compliant: 4 results) Presentation (39 results, of which Int'l Joint Research: 5 results, Invited: 6 results)

12. Statistical prediction, causation, incomplete data analysis and foundation of sciencee

Research Project

Research Category	Grant-in-Aid for Scientific Research (B)
Research Field	Statistical science
Research Institution	Osaka University
Principal Investigator	KANO YUTAKA 大阪大学, 基礎工学研究科, 教授
Project Period (FY)	2010-04-01 – 2014-03-31Completed
Keywords	shared-parameter モデル / 統計的因果推論 / 無視できない欠測 / NMAR / LiNGAM / 潜在交絡変数 / 2重中途打ち切り / 因果と予測 / 高次元データ / 大量欠測 / 潜在変数モデル / 人口データ解析 / 統計教育 / 無視可能性 / 欠測値問題とMAR / 補助変数 / 交絡変数 / リスク / ランダムな欠測 / 因果と欠測 / NMARness / Approximate Population Bias / ベイズ推測 / 推定方程式の不偏性 / 強い意味で無視可能
Research Abstract	Analysis of incomplete data has been troublesome both theoretically and practically. In particular nonignorable missingness has been a serious issue i ...

Research Products of this project	Journal Article (20 results, of which Peer Reviewed: 19 results) Presentation (15 results, of which Invited: 1 results) Book (1 results) Remarks (3 results)

13. Establishment of Statistical Estimation Principle for Super HighDimensional Data and Its Application to Large Scale Data Mining

Research Project

Research Category	Grant-in-Aid for Scientific Research (B)
Research Field	Intelligent informatics
Research Institution	Osaka University
Principal Investigator	WASHIO Takashi 大阪大学, 産業科学研究所, 教授
Project Period (FY)	2010 – 2012Completed
Keywords	知能発見 / データマイニング / 統計的推定 / 超高次元データ / ビッグデータ / 高次元データ / 次元の呪い / 粒子フィルタ / 統計数理 / 確率密度関数 / データ分布
Research Abstract	Upon analysis of dimensionality curse, we characterized “hyper-sphere concentration effect”, “probability concentration effect” and “sparsity effect”o ...

Research Products of this project	Journal Article (13 results, of which Peer Reviewed: 13 results) Presentation (30 results) Book (1 results)

14. Discovery of reliable causal structures in high-dimensional data

Research Project

Research Category	Grant-in-Aid for Young Scientists (B)
Research Field	Statistical science
Research Institution	Osaka University
Principal Investigator	SHIMIZU Shohei 大阪大学, 産業科学研究所, 助教
Project Period (FY)	2009 – 2011Completed
Keywords	統計的因果推論 / 構造方程式モデル / 独立成分分析 / 因果構造探索 / 非ガウス性 / 統計数学 / 機械学習
Research Abstract	We developed several statistical methods to estimate causal networks from high-dimensional data and obtain useful causal knowledge. Specifically, we(1 ...

Research Products of this project	Journal Article (9 results, of which Peer Reviewed: 9 results) Presentation (31 results) Remarks (6 results)

15. Development of Causal Structure Mining Method for Large Scale Dimensional Data and Construction of Gene Function Knowledge Base

Research Project

Research Category	Grant-in-Aid for Scientific Research (A)
Research Field	Intelligent informatics
Research Institution	Osaka University
Principal Investigator	WASHIO Takashi Osaka University
Project Period (FY)	2007 – 2009Completed
Keywords	大規模次元 / 因果推論 / データマイニング / 遺伝子機能 / 知識ベース / グラフマイニング / 遺子機能 / 統計的因果推論 / 独立成分分析 / 遺伝子発現度測定データ / 大規模変数次元データ / 因果ネットワーク / 少数事例データ / 高速相関係数推定
Research Abstract	Scientists attempt to figure out function of each gene through the analysis of causal relations between gene expressions by using measurement data of ...

Research Products of this project	Journal Article (41 results, of which Peer Reviewed: 39 results) Presentation (47 results) Book (10 results) Patent(Industrial Property Rights) (2 results, of which Overseas: 1 results)