ホーム > 佐久間 淳/ Sakuma, Jun
佐久間 淳
ALUMNI
2026年2月現在、筑波大学が主たる所属機関ではありません
Sakuma, Jun
東京科学大学 , 情報理工学院 , 教授 Institute of Science Tokyo , School of Computing , Professor
オープンアクセス版の論文は「つくばリポジトリ」で読むことができます。
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1.
Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion.
Daiki Nishiyama; Hiroaki Miyoshi; Noriaki Hashimoto; Koichi Ohshima (+2 著者) Jun Sakuma
CoRR abs/2503.00925: (2025)
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2.
Data Poisoning Attacks to Locally Differentially Private Range Query Protocols.
Ting-Wei Liao; Chih-Hsun Lin; Yu-Lin Tsai; Takao Murakami (+3 著者) Hiroaki Kikuchi
CoRR abs/2503.03454: (2025)
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3.
Disrupting Model Merging: A Parameter-Level Defense Without Sacrificing Accuracy.
Junhao Wei; Yu Zhe; Jun Sakuma
CoRR abs/2503.07661: (2025)
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4.
Deterministic and Probabilistic Certified Defenses for Content-Based Image Retrieval.
Kazuya Kakizaki; Kazuto Fukuchi; Jun Sakuma
IEICE Trans. Inf. Syst. 108: 92 (2025)
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5.
BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors.
Chia-Yi Hsu; Yu-Lin Tsai; Yu Zhe; Yan-Lun Chen (+4 著者) Jun Sakuma
CoRR abs/2501.02373: (2025)
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6.
Convergence Rate of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions.
Daiki Morinaga; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto
IEEE Transactions on Evolutionary Computation 28: 501 (2024)
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7.
Attacking-Distance-Aware Attack: Semi-targeted Model Poisoning on Federated Learning.
Yuwei Sun; Hideya Ochiai; Jun Sakuma
IEEE Transactions on Artificial Intelligence 5: 925 (2024)
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8.
Zero-shot domain adaptation based on dual-level mix and contrast.
Yu Zhe; Jun Sakuma
CoRR abs/2406.18996: (2024)
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9.
Remembering Transformer for Continual Learning.
Yuwei Sun; Ippei Fujisawa; Arthur Juliani; Jun SakumaRyota Kanai
CoRR abs/2404.07518: (2024)
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10.
Trojan attribute inference attack on gradient boosting decision trees.
Kunihiro Ito; Batnyam Enkhtaivan; Isamu Teranishi; Jun Sakuma
9th IEEE European Symposium on Security and Privacy(EuroS&P) 542 (2024)
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11.
Linear Convergence Rate Analysis of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions.
Daiki Morinaga; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto
Proceedings of the Genetic and Evolutionary Computation Conference Companion 49 (2024)
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12.
Instance-Level Trojan Attacks on Visual Question Answering via Adversarial Learning in Neuron Activation Space.
Yuwei Sun; Hideya Ochiai; Jun Sakuma
International Joint Conference on Neural Networks(IJCNN) 1 (2024)
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13.
Adversarial Attacks on Hidden Tasks in Multi-Task Learning.
Yu Zhe; Rei Nagaike; Daiki Nishiyama; Kazuto FukuchiJun Sakuma
CoRR abs/2405.15244: (2024)
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14.
Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift.
Mitsuhiro Fujikawa; Yohei Akimoto; Jun Sakuma; Kazuto Fukuchi
CoRR abs/2405.16906: (2024)
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15.
Behavior-Targeted Attack on Reinforcement Learning with Limited Access to Victim's Policy.
Shojiro Yamabe; Kazuto Fukuchi; Ryoma Senda; Jun Sakuma
CoRR abs/2406.03862: (2024)
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16.
Parameter Matching Attack: Enhancing Practical Applicability of Availability Attacks.
Yu Zhe; Jun Sakuma
CoRR abs/2407.02437: (2024)
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17.
Statistically Significant Pattern Mining With Ordinal Utility.
Thien Q. Tran; Kazuto Fukuchi; Youhei Akimoto; Jun Sakuma
IEEE Transactions on Knowledge and Data Engineering 35: 8770 (2023)
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18.
Covariance Matrix Adaptation Evolutionary Strategy with Worst-Case Ranking Approximation for Min–Max Optimization and Its Application to Berthing Control Tasks
Atsuhiro Miyagi; Yoshiki Miyauchi; Atsuo Maki; Kazuto Fukuchi (+1 著者) Youhei Akimoto
ACM Transactions on Evolutionary Learning and Optimization 3: 8 (2023)
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19.
Unauthorized AI cannot Recognize Me: Reversible Adversarial Example
Liu, Jiayang; Zhang, Weiming; Fukuchi, Kazuto; Akimoto, YoheiSakuma, Jun
Pattern Recognition 134: 109048 (2023)
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20.
Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs.
Kaiwen Xu; Kazuto Fukuchi; Youhei Akimoto; Jun Sakuma
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence(IJCAI) 519 (2023)
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1.
Privacy-Preserving Local Search for the Traveling Salesman Problem
Jun, Sakuma; Shigenobu, Kobayashi
Intech 2010年12月
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2.
進化技術ハンドブック
佐久間淳
近代科学社 2010年1月
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3.
交叉オペレータによる高次元分布推定とその最適化・モデル推定への応用
佐久間, 淳
2003年3月
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21.
Minimax Optimal Additive Functional Estimation with Discrete Distribution: Slow Divergence Speed Case
Fukuchi, Kazuto; Sakuma, Jun
IEEE International Symposium on Information Theory (ISIT) 2018年6月17日
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22.
Malware Analysis of Imaged Binary Samples by Convolutional Neural Network with Attention Mechanism
Yakura, Hiromu; Shinozaki, Shinnosuke; Nishimura, Reon; Oyama, Yoshihiro; Sakuma, Jun
8th ACM Conference on Data and Application Security and Privacy (CODASPY) 2018年3月19日
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23.
Efficiently Monitoring Small Data Modification Effect for Large-Scale Learning in Changing Environment
Hanada, Hiroyuki; Shibagaki, Atsushi; Sakuma, Jun; Takeuchi, Ichiro
32nd AAAI Conference on Artificial Intelligence / 30th Innovative Applications of Artificial Intelligence Conference / 8th AAAI Symposium on Educational Advances in Artificial Intelligence 2018年2月2日
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24.
Differentially Private Empirical Risk Minimization with Input Perturbation
Fukuchi, Kazuto; Tran; Quang Khai; Sakuma, Jun
20th International Conference on Discovery Science (DS) 2017年10月15日
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25.
Differentially Private Empirical Risk Minimization with Input Perturbation
Fukuchi, Kazuto; Tran; Quang Khai; Sakuma, Jun
20th International Conference on Discovery Science (DS) 2017年10月15日
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26.
Towards Privacy-Preserving Record Linkage with Record-Wise Linkage Policy
Kaiho, Takahito; Lu, Wen-jie; Amagasa, Toshiyuki; Sakuma, Jun
28th International Conference on Database and Expert Systems Applications (DEXA) 2017年8月28日
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27.
Minimax Optimal Estimators for Additive Scalar Functionals of Discrete Distributions
Fukuchi, Kazuto; Sakuma, Jun
IEEE International Symposium on Information Theory (ISIT) 2017年6月25日
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28.
Minimax optimal estimators for additive scalar functionals of discrete distributions
Fukuchi, Kazuto; Sakuma, Jun
IEEE International Symposium on Information Theory (ISIT) 2017年6月25日
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29.
Mis-operation Resistant Searchable Homomorphic Encryption
Emura, Keita; Hayashi, Takuya; Kunihiro, Noboru; Sakuma, Jun
ASIA CCS'17 2017年4月
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30.
Using Fully Homomorphic Encryption for Statistical Analysis of Categorical, Ordinal and Numerical Data.
Sakuma, Jun; Lu, Wen-jie; Kawasaki, Shohei
Network and Distributed System Security Symposium 2017 2017年2月27日 Internet Society
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31.
離散分布のエントロピーライクな指標に対するミニマックス最適推定量
Sakuma,Jun
第39回情報理論とその応用シンポジウム 2016年12月13日 SITA
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32.
Quantifying Genomic Privacy in Genetic Test Results
Sakuma, Jun; Arai, Hiromi; Tsuda, Koji
3rd International Workshop on Genome Privacy and Security 2016年11月12日 AMIA
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33.
Fairy Ring: Ubiquitous Secure Multiparty Computation Framework for Smartphone Applications
Sakuma, Jun; Teruya, Tadanori; Aoki, Yoshiki
2016 IEEE International Symposium on Information Theory and its Applications 2016年11月2日
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34.
Privately Evaluating Contingency Tables with Suppression
Sakuma, Jun; 陸; 文杰
コンピュータセキュリティシンポジウム2016 2016年10月11日
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35.
A Study from Data Anonymization Competition Pwscup 2015
Sakuma, Jun; Kikuchi.Hiroaki; Yamaguchi.Takayasu; Hamada, Koki; Yamaoka, Yuji; Oguri, Hidenobu
11th DPM International Workshop on Data Privacy Management 2016年9月27日
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36.
リンケージポリシ執行を保証するレコードリンケージ
Sakuma, Jun; 海寳 貴人; 陸 文杰
第8回データ工学と情報マネジメントに関するフォーラム 2016年2月29日
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37.
Differentially Private Analysis of Outliers
Okada, Rina; Fukuchi, Kazuto; Sakuma, Jun
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2015年9月7日
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38.
Neutralized Empirical Risk Minimization with Generalization Neutrality Bound
Fukuchi, Kazuto; Sakuma, Jun
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2014年9月15日
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39.
Privacy-preserving Hypothesis Testing for the Analysis of Epidemiological Medical Data
Kikuchi, Hiroaki; Sato, Tomoki; Sakuma, Jun
28th IEEE International Conference on Advanced Information Networking and Applications (IEEE AINA) 2014年5月13日
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40.
Prediction with Model-based Neutralization
Jun, Sakuma; Kazuto, Fukuchi; Toshihiro, Kamishima
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2013 2013年9月25日
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1. : 選択装置、選択方法、プログラム、及び記録媒体
佐久間, 淳; マイケル・エドワード・フール -
2. : プログラム、分類方法およびシステム
佐久間, 淳; 浦本, 直彦 -
3. : Selection of elements strongly related to a predetermined reference element
Jun, Sakuma; Michael, Edward Houle -
4. : Program, classification method and system
Jun, Sakuma; Naohiko, Uramoto
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