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佐久間 淳

ALUMNI 2025年11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

http://www.mdl.cs.tsukuba.ac.jp

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。
  1. 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)
  2. 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)
  3. 3. Disrupting Model Merging: A Parameter-Level Defense Without Sacrificing Accuracy. Junhao Wei; Yu Zhe; Jun Sakuma
      CoRR abs/2503.07661: (2025)
  4. 4. Deterministic and Probabilistic Certified Defenses for Content-Based Image Retrieval. Kazuya Kakizaki; Kazuto Fukuchi; Jun Sakuma
      IEICE Trans. Inf. Syst. 108: 92 (2025)
  5. 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)
  6. 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)
  7. 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)
  8. 8. Zero-shot domain adaptation based on dual-level mix and contrast. Yu Zhe; Jun Sakuma
      CoRR abs/2406.18996: (2024)
  9. 9. Remembering Transformer for Continual Learning. Yuwei Sun; Ippei Fujisawa; Arthur Juliani; Jun SakumaRyota Kanai
      CoRR abs/2404.07518: (2024)
  10. 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)
  11. 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)
  12. 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)
  13. 13. Adversarial Attacks on Hidden Tasks in Multi-Task Learning. Yu Zhe; Rei Nagaike; Daiki Nishiyama; Kazuto FukuchiJun Sakuma
      CoRR abs/2405.15244: (2024)
  14. 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)
  15. 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)
  16. 16. Parameter Matching Attack: Enhancing Practical Applicability of Availability Attacks. Yu Zhe; Jun Sakuma
      CoRR abs/2407.02437: (2024)
  17. 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)
  18. 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)
  19. 19. Unauthorized AI cannot Recognize Me: Reversible Adversarial Example Liu, Jiayang; Zhang, Weiming; Fukuchi, Kazuto; Akimoto, YoheiSakuma, Jun
      Pattern Recognition 134: 109048 (2023)
  20. 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. 1. Privacy-Preserving Local Search for the Traveling Salesman Problem Jun, Sakuma; Shigenobu, Kobayashi
    Intech 2010年12月
  2. 2. 進化技術ハンドブック 佐久間淳
    近代科学社 2010年1月
  3. 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
  1. 1. 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年6月14日
  2. 2. Unsupervised Causal Binary Concepts Discovery with VAE for Black-box Model Explanation Tran, Thien Q; Fukuchi, Kazuto; Akimoto, Yohei; Sakuma, Jun
    36th AAAI Conference on Artificial Intelligence 2022年2月22日
  3. 3. Adaptive Scenario Subset Selection for Minimax Black-Box Continuous Optimization Miyagi, Atsuhiro; Fukuchi, Kazuto; Sakuma, Jun; Akimoto, Yohei
    GECCO '21 2021年7月10日
  4. 4. 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年7月10日
  5. 5. Level Generation for Angry Birds with Sequential VAE and Latent Variable Evolution Tanabe, Takumi; Fukuchi, Kazuto; Sakuma, Jun; Akimoto, Yohei
    GECCO '21 2021年7月10日
  6. 6. Sequential Variational Autoencoderを用いたAngry Birdsのステージ生成 田邊, 拓実; 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年6月8日
  7. 7. 深層生成モデルによる弱パレート解集合の近似 江戸, 陽向; 濱田, 直希; 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年6月8日
  8. 8. 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年6月8日
  9. 9. (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年6月8日
  10. 10. AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment Sato, Rei; Sakuma, Jun; Akimoto, Yohei
    Proceedings of the AAAI Conference on Artificial Intelligence 2021年2月2日
  11. 11. Deep Generative Model for Non-convex Constraint Handling Sakamoto, Naoki; Semmatsu, Eiji; Fukuchi, Kazuto; Sakuma, Jun; Akimoto, Youhei
    Genetic and Evolutionary Computation Conference (GECCO) 2020年7月8日
  12. 12. 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 2020年7月6日
  13. 13. Generate (non-software) Bugs to Fool Classifiers Yakura, Hiromu; Akimoto, Yohei; Sakuma, Jun
    Thirty-Fourth AAAI Conference on Artificial Intelligence, New York, New York, USA, February 7-12, 2020 2020年2月7日
  14. 14. Identification of nine genes as novel susceptibility loci for early-onset ischemic stroke, intracerebral hemorrhage, or subarachnoid hemorrhage Yamase, Y; Horibe, H; Kato, K; Oguri, M; Fujimaki, T; Hibino, T; Kondo, T; Sakuma, J; Takeuchi, I; Murohara, T; Yasukochi, I; Yamada, Y
    Congress of the European-Society-of-Cardiology (ESC) / World Congress of Cardiology 2019年8月31日
  15. 15. Seasonal-adjustment Based Feature Selection Method for Predicting Epidemic with Large-scale Search Engine Logs Tran, Thien Q; Sakuma, Jun
    25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) 2019年8月4日
  16. 16. Robust Watermarking of Neural Network with Exponential Weighting Namba, Ryota; Sakuma, Jun
    ACM Asia Conference on Computer and Communications Security (Asia CCS) 2019年7月9日
  17. 17. AI for Security, Security for AI Sakuma,Jun
    LINE x Intertrust Security Summit 2019 2019年5月20日 LINE corp. 招待有り
  18. 18. 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 福地, 一斗; 佐久間, 淳
    第41回情報理論とその応用シンポジウム (SITA2018) 2018年12月18日 電子情報通信学会 基礎・境界ソサイエティ 情報理論とその応用サブソサイエティ
  19. 19. More Practical Privacy-Preserving Machine Learning as A Service via Efficient Secure Matrix Multiplication 佐久間, 淳
    The 6th Workshop on Encrypted Computing & Applied Homomorphic Cryptography 2018年10月19日
  20. 20. Outsourced Private Function Evaluation with Privacy Policy Enforcement Kunihiro, Noboru; Lu, Wen-Jie; Nishide, Takashi; Sakuma, Jun
    IEEE TrustCom2018 2018年8月
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