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RIKEN Center for Advanced Intelligence Project AI Security and Privacy Team

Team Leader: Jun Sakuma (D.Eng.)

Research Summary

Jun  Sakuma(D.Eng.)

Along with the development of artificial intelligence (AI) technologies, decision making by machine learning is being widely implemented in society. In order for artificial intelligence to play a prominent role in decision making of humans, it is necessary to guarantee that private or confidential information is not leaked through the process of decision making by AI. Also, we need guarantee that that AI's behavior cannot be arbitrarily manipulated by a malicious attacker and AI cannot harm humans against the original AI designers’ intent. Our team aims to develop fundamental technologies of security and privacy that are necessary for proper use of AI in society.

Research Subjects:

  • Artificial Intelligence Security
  • Privacy Preservation in Artificial Intelligence

Main Research Fields

  • Informatics

Related Research Fields

  • Engineering
  • Humanities
  • Intelligent informatics
  • Information security


  • machine learning
  • security
  • privacy
  • fairness

Selected Publications

  • 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).

Related Links

Lab Members

Principal investigator

Jun Sakuma
Team Leader

Core members

Zhe Yu
Postdoctoral Researcher
Joshua Butke
Postdoctoral Researcher
Kazuto Fukuchi
Visiting Scientist
Hideitsu Hino
Visiting Scientist
Tatsuya Mori
Visiting Scientist
Yohei Akimoto
Visiting Scientist
Yuki Koike
Visiting Scientist
Takao Murakami
Visiting Scientist
Yuwei Sun
Visiting Scientist
Daiki Nishiyama
Research Part-time Worker I
Ziling He
Research Part-time Worker I
Junhao Wei
Research Part-time Worker I
Mikoto Kudou
Research Part-time Worker I
Hideyuki Oiso
Research Part-time Worker II
Takaaki Toda
Research Part-time Worker II
Shiwen An
Research Part-time Worker II
Md Ragib Amin Nihal
Research Part-time Worker II
Yu-Lin Tsai
Student Trainee

Contact Information

1-1-1, Tennohdai, Tsukuba, Ibaraki
Email: jun.sakuma [at] riken.jp