Fukuchi Kazuto
- Affiliation
- Institute of Systems and Information Engineering
- Official title
- Assistant Professor
- ORCID
- 0000-0003-3895-219X
- URL
- Other affiliation
RIKEN Center for Advanced Intelligence Project Visiting Researcher - Research fields
Intelligent informatics Statistical science Computational science - Research projects
Demographi parity制約下における公平な回帰問題におけるMinimax最適性の解明 2023-04 -- 2026-03 Kazuto Fukuchi Japan Society for the Promotion of Science/Grant-in-Aid for Early-Career Scientists 4,680,000Yen 大規模離散分布におけるminimax最適な汎関数推定 2020 -- 2022 福地 一斗 Japan Society for the Promotion of Science/Grant-in-Aid for Early-Career Scientists 4,160,000Yen 離散分布におけるスカラー値のMinimax最適な推定量 2017-04 -- 2018-03 Kazuto Fukuchi Japan Society of for the Promotion of Science/日本学術振興会/科学研究費補助金 特別研究員奨励費 1,000,000Yen - Career history
2019-11 -- (current) RIKENCenter for Advanced Intelligence ProjectVisiting researcher 2019-09 -- (current) University of TsukubaFaculty of Engineering, Information and SystemsAssistant Professor 2018-04 -- 2019-08 RIKENCenter for Advanced Intelligence ProjectPostdoctor - Academic background
2006-04 -- 2011-03 National Institute of Technology, Tokyo College Department of Computer Science 2011-04 -- 2013-03 University of Tsukuba School of Informatics College of Information Science 2013-04 -- 2015-03 University of Tsukuba Graduate School of Systems and Information Engineering Department of Computer Science 2015-04 -- 2018-03 University of Tsukuba Graduate School of Systems and Information Engineering Department of Computer Science - Degree
2015-03 M.Sc. in Engineering University of Tsukuba 2018-03 Ph.D. in Engineering University of Tsukuba - Honors & Awards
2023-11 コンピュータセキュリティシンポジウム2023 学生論文賞 物理的に実現可能な特徴をトリガーとしたクリーンラベルバックドア攻撃 2023-12 NeurIPS 2023, Top Reviewer 2021-03 ICLR2021, Outstanding Reviewer Award 2020-09 ICML2020, Top 33% Reviewer 2019-11 2018年SITA若手研究者論文賞受賞者 離散分布におけるシャノンエントロピー型のAdditive汎関数のミニマックス最適推定 2018-01 学生優秀プレゼンテーション賞 結果的公平な文脈付きバンディット学習 2016-03 IBM Ph.D. Fellowship Award 2016 - Refereed academic journal/Refereed international conference paper
- Demographic Parity Constrained Minimax Optimal Regression under Linear Model
Fukuchi Kazuto; Sakuma Jun
Advances in Neural Information Processing Systems/36/pp.8653-8689, 2023-12 - Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs
Xu Kaiwen; Fukuchi Kazuto; Akimoto Youhei; Sakuma Jun
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI-23/(8)/pp.519-526, 2023-08 - Privformer: Privacy-preserving Transformer with MPC
Akimoto Yoshimasa; Fukuchi Kazuto; Akimoto Youhei; Sak...
2023 IEEE 8th European Symposium on Security and Privacy/pp.392-410, 2023-07 - Statistically Significant Pattern Mining With Ordinal Utility
Tran Thien Q. Q.; Fukuchi Kazuto; Akimoto Youhei; Saku...
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING/35(9)/pp.8770-8783, 2023-04-01 - Minimax Optimal Estimators for Additive Scalar Functionals of Discrete Distributions
Fukuchi Kazuto; Sakuma Jun
IEEE International Symposium on Information Theory (ISIT)/pp.2103-2107, 2017-06-25 - Certified Defense for Content Based Image Retrieval
Kakizaki Kazuya; Fukuchi Kazuto; Sakuma Jun
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)/pp.4561-4570, 2023-01-03 - Did You Use My GAN to Generate Fake? Post-hoc Attribution of GAN Generated Images via Latent Recovery
Syou Hirofumi; Fukuchi Kazuto; Akimoto Yohei; Sakuma Jun
2022 International Joint Conference on Neural Networks (IJCNN)/pp.1-8, 2022-07 - CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy
Nishiyama Daiki; Fukuchi Kazuto; Akimoto Yohei; Sakuma Jun
2022 International Joint Conference on Neural Networks (IJCNN)/pp.1-8, 2022-07 - Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning
Sato Rei; Akimoto Yohei; Fukuchi Kazuto; Sakuma Jun
2022 International Joint Conference on Neural Networks (IJCNN)/pp.01---10, 2022-07 - Black-Box Min–Max Continuous Optimization Using CMA-ES with Worst-case Ranking Approximation
Miyagi Atsuhiro; Fukuchi Kazuto; Sakuma Jun; Akimoto Yohei
GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference/pp.823-831, 2022-07 - Domain Generalization via Adversarial Learned Novel Domains
Yu Zhe; Fuchiku Kazuto; Akimoto Yohei; Sakuma Jun
2022 IEEE International Conference on Multimedia and Expo (ICME)/pp.1-6, 2022-07 - CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy
Nishiyama Daiki; Fukuchi Kazuto; Akimoto Yohei; Sakuma...
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS/E106D(4)/pp.523-537, 2023-04 - Adaptive Scenario Subset Selection for Worst-Case Optimization and its Application to Well Placement Optimization
Miyagi Atsuhiro; Fukuchi Kazuto; Sakuma Jun; Akimoto ...
APPLIED SOFT COMPUTING/133, 2023-01 - Explicitly Constrained Black-Box Optimization With Disconnected Feasible Domains Using Deep Generative Models
Sakamoto Naoki; Sato Rei; Fukuchi Kazuto; Sakuma Jun; Aki...
IEEE Access/10/pp.117501-117514, 2022-11 - Unauthorized AI cannot Recognize Me: Reversible Adversarial Example
Liu Jiayang; Zhang Weiming; Fukuchi Kazuto; Akimoto Yohe...
PATTERN RECOGNITION/134, 2023-02 - Domain Generalization via Adversarially Learned Novel Domains
Yu Zhe; Fukuchi Kazuto; Akimoto Yohei; Sakuma Jun
IEEE Access/10/pp.101855-101868, 2022-09 - Locally Differentially Private Minimum Finding
Fukuchi Kazuto; Yu Chia-Mu; Sakuma Jun
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS/E105D(8)/pp.1418-1430, 2022-08 - Unsupervised Causal Binary Concepts Discovery with VAE for Black-box Model Explanation
Tran Thien Q.; Fukuchi Kazuto; Akimoto Yohei; Sakuma Jun
Proceedings of the AAAI Conference on Artificial Intelligence, 2022-02 - Deep Generative Model for Non-convex Constraint Handling
Sakamoto Naoki; Semmatsu Eiji; Fukuchi Kazuto; Sakuma Ju...
GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference/pp.636-644, 2020-07 - Statistically Significant Pattern Mining with Ordinal Utility
Tran Thien Q.; Fukuchi Kazuto; Akimoto Yohei; Sakuma Jun
KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining/pp.1645-1655, 2020-08 - Adaptive Scenario Subset Selection for Minimax Black-Box Continuous Optimization
Miyagi Atsuhiro; Fukuchi Kazuto; Sakuma Jun; Akimoto Yohei
GECCO '21, 2021-07 - Level Generation for Angry Birds with Sequential VAE and Latent Variable Evolution
Tanabe Takumi; Fukuchi Kazuto; Sakuma Jun; Akimoto Yohei
GECCO '21, 2021-07 - Convergence Rate of the (1+1)-Evolution Strategy with Success-Based Step-Size Adaptation on Convex Quadratic Function
Morinaga Daiki; Fukuchi Kazuto; Sakuma Jun; Akimoto Yohei
GECCO '21, 2021-07 - Faking Fairness via Stealthily Biased Sampling
Fukuchi Kazuto; Hara Satoshi; Maehara Takanori
The Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020-02 - Differentially Private Analysis of Outliers
Okada Rina; Fukuchi Kazuto; Sakuma Jun
Machine Learning and Knowledge Discovery in Databases/9285/pp.458-473, 2015-08 - more...
- Demographic Parity Constrained Minimax Optimal Regression under Linear Model
- Conference, etc.
- Poisoning Attack on Fairness of Fair Classification Algorithm through Threshold Control
Shengitan Dai; Youhei Akimoto; Sakuma Jun; Fukuchi Kazuto
情報論的学習理論と機械学習研究会 (IBISML) 研究会 (第53回)/2024-03-03--2024-03-04 - マルチタスク学習における隠れたタスクに対する敵対的攻撃
永池 礼; 西山 大輝; 秋本 洋平; 福地 一斗; 佐久間 淳
2024年 暗号と情報セキュリティシンポジウム/2024-01-23--2024-01-26 - neighbor-transfer-exponentを通した非絶対連続分布間の共変量シフト下での分類誤差解析
藤川 光浩; 秋本 洋平; 佐久間 淳; 福地 一斗
情報論的学習理論と機械学習研究会 (IBISML) 研究会 (第52回)/2023-12-20--2023-12-21 - 物理的に実現可能な特徴をトリガーとしたクリーンラベルバックドア攻撃
大磯 秀幸; 福地 一斗; 秋本 洋平; 佐久間 淳
コンピュータセキュリティシンポジウム2023 (CSS2023)/2023-10-30--2023-11-02 - neighbor-transfer-exponentを用いた非絶対連続分布間の転移学習の誤差解析
藤川 光浩; 秋本 洋平; 佐久間 淳; 福地 一斗
第26回情報論的学習理論ワークショップ2023 (IBIS2023)/2023-10-29--2023-11-01 - ノックオフによる画像分類器の統計的有意なコンセプトに基づく説明
XU KAIWEN; 福地 一斗; 秋本 洋平; 佐久間 淳
2023年度 人工知能学会全国大会 (第37回)/2023-06-06--2023-06-09 - コンセプトをトリガーとしたステルス性の高いバックドア攻撃
大磯 秀幸; 福地 一斗; 秋本 洋平; 佐久間 淳
2023年度 人工知能学会全国大会 (第37回)/2023-06-06--2023-06-09 - 少数のセンシティブ属性を用いた公平な学習
小路口 望; 福地 一斗; 秋本 洋平; 佐久間 淳
2023年度 人工知能学会全国大会 (第37回)/2023-06-06--2023-06-09 - 精度劣化を伴わない特定クラスの再現率改善のための分類器学習
西山 大輝; 福地 一斗; 秋本 洋平; 佐久間 淳
2023年度 人工知能学会全国大会 (第37回)/2023-06-06--2023-06-09 - Demographic Parity Constrained Minimax Optimal Regression under Linear Model
Fukuchi Kazuto; Sakuma Jun
The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023)/2023-12-10--2023-12-16 - Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs
Xu Kaiwen; Fukuchi Kazuto; Akimoto Youhei; Sakuma Jun
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI-23/2023-08-19--2023-08-25 - Privformer: Privacy-preserving Transformer with MPC
Akimoto Yoshimasa; Fukuchi Kazuto; Akimoto Youhei; Sak...
2023 IEEE 8th European Symposium on Security and Privacy/2023-07-03--2023-07-07 - 機械学習アルゴリズムに潜む不公平なバイアスとその理論
福地 一斗
2022年電子情報通信学会ソサイエティ大会/2022-09-06--2022-09-09 - (1+1)-ES の一次収束と収束速度の理論的評価
森永大貴; 福地一斗; 佐久間淳; 秋本 洋平
進化計算シンポジウム2022/2022-12-17--2022-12-18 - 偽発見率を保証したコンセプトによる説明可能モデルの学習
徐 楷文; 秋本 洋平; 福地 一斗; 佐久間 淳
2022年度人工知能学会全国大会（第36回）/2022-06-14--2022-06-17 - Certified Defense for Content Based Image Retrieval
Kakizaki Kazuya; Fukuchi Kazuto; Sakuma Jun
IEEE/CVF Winter Conference on Applications of Computer Vision/2023-01-03--2023-01-07 - Minimax Optimal Fair Regression under Linear Model
Fukuchi Kazuto; Sakuma Jun
NeurIPS 2022 Workshop: Algorithmic Fairness through the Lens of Causality and Privacy/2022-12-03 - Did You Use My GAN to Generate Fake? Post-hoc Attribution of GAN Generated Images via Latent Recovery
Syou Hirofumi; Fukuchi Kazuto; Akimoto Yohei; Sakuma Jun
International Joint Conference on Neural Networks/2022-07-18--2022-07-23 - CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy
Nishiyama Daiki; Fukuchi Kazuto; Akimoto Yohei; Sakuma Jun
International Joint Conference on Neural Networks/2022-07-18--2022-07-23 - Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning
Sato Rei; Akimoto Yohei; Fukuchi Kazuto; Sakuma Jun
International Joint Conference on Neural Networks/2022-07-18--2022-07-23 - Black-Box Min–Max Continuous Optimization Using CMA-ES with Worst-case Ranking Approximation
Miyagi Atsuhiro; Fukuchi Kazuto; Sakuma Jun; Akimoto Yohei
Genetic and Evolutionary Computation Conference (GECCO ’22)/2022-07-09--2022-07-13 - Domain Generalization via Adversarial Learned Novel Domains
Yu Zhe; Fuchiku Kazuto; Akimoto Yohei; Sakuma Jun
IEEE International Conference on Multimedia and Expo 2022/2022-07-18--2022-07-22 - モデル化誤差に頑健な Max-Min Off-Policy Actor-Critic
田邊 拓実; 福地 一斗; 佐久間 淳; 秋本 洋平
2022年度人工知能学会全国大会（第36回）/2022-06-14--2022-6-17 - (1+1)-Evolution Strategyの凸二次関数における収束速度の導出
森永 大貴; 福地 一斗; 佐久間 淳; 秋本 洋平
2021年度人工知能学会全国大会（第35回）/2021-06-08--2021-06-11 - 複数の損失関数を用いた深層生成モデルの訓練と制約付きブラックボックス最適化への適用
阪本 直気; 佐藤 怜; 福地 一斗; 佐久間 淳; 秋本 洋平
2021年度人工知能学会全国大会（第35回）/2021-06-08--2021-06-11 - more...
- Poisoning Attack on Fairness of Fair Classification Algorithm through Threshold Control
- Teaching
2023-10 -- 2024-02 Research in Computer Science IIf University of Tsukuba. 2023-10 -- 2024-02 Research in Computer Science If University of Tsukuba. 2023-04 -- 2023-08 Research in Computer Science Is University of Tsukuba. 2023-04 -- 2023-08 Research in Computer Science IIs University of Tsukuba. 2023-04 -- 2023-08 Seminar in Computer Science s University of Tsukuba. 2023-10 -- 2024-02 Research in Computer Science f University of Tsukuba. 2023-10 -- 2024-02 Seminar in Computer Science f University of Tsukuba. 2023-10 -- 2024-02 Computer Science Seminar B University of Tsukuba. 2023-04 -- 2023-08 Computer Science Seminar B University of Tsukuba. 2023-10 -- 2024-02 Computer Science Seminar Af University of Tsukuba. more...
(Last updated: 2024-04-16)