研究概要

主要論文

• 1. Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma:
  "Statistically Significant Pattern Mining with Ordinal Utility."
  KDD 2020: pp. 1645-1655 (2020).
• 2. Hiromu Yakura, Youhei Akimoto, Jun Sakuma.:
  "Generate (Non-Software) Bugs to Fool Classifiers"
  AAAI 2020: pp. 1070-1078 (2020).
• 3. Hiromu Yakura, Shinnosuke Shinozaki, Reon Nishimura, Yoshihiro Oyama, Jun Sakuma.:
  "Neural malware analysis with attention mechanism"
  Comput. Secur. 87, 15 pages, (2019).
• 4. Ryota Namba, Jun Sakuma.:
  "Robust Watermarking of Neural Network with Exponential Weighting"
  AsiaCCS 2019: pp. 228-240 (2019).
• 5. Hiromu Yakura, Jun Sakuma.:
  "Robust Audio Adversarial Example for a Physical Attack"
  IJCAI 2019: pp. 5334-5341 (2019).
• 6. Thien Q. Tran, Jun Sakuma.:
  "Seasonal-adjustment Based Feature Selection Method for Predicting Epidemic with Large-scale Search Engine Logs"
  KDD 2019: pp. 2857-2866 (2019).
• 7. Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma.:
  "Model-based and actual independence for fairness-aware classification"
  Data Min. Knowl. Discov. 32(1): pp. 258-286 (2018).
• 8. Takao Murakami, Hideitsu Hino, Jun Sakuma.:
  "Toward Distribution Estimation under Local Differential Privacy with Small Samples"
  PoPETs 2018(3): pp. 84-104 (2018).
• 9. Kazuya Kakizaki, Kazuto Fukuchi, Jun Sakuma.:
  "Differentially Private Chi-squared Test by Unit Circle Mechanism"
  ICML 2017: pp. 1761-1770 (2017).
• 10. Wenjie Lu, Shohei Kawasaki, Jun Sakuma.:
  "Using Fully Homomorphic Encryption for Statistical Analysis of Categorical, Ordinal and Numerical Data"
  NDSS 2017, 15 pages (2017).

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