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HARRY CHANDRA TANUWIDJAJAタナウィドジャッジャー ハリー チャンドラー (タナウィドジャッジャー ハリー チャンドラー)

タナウィドジャッジャー ハリー チャンドラー

サイバーセキュリティ研究所
AIセキュリティ研究センター 研究員

サイバーセキュリティ研究所
サイバーセキュリティ研究室 研究員

Harry Chandra Tanuwidjaja received the B.S. and M.S. degrees in electrical engineering from the Bandung Institute of Technology (ITB), Indonesia, in 2013 and 2015, respectively.

He got his Ph.D. degree from the School of Computing, Korea Advanced Institute of Science and Technology (KAIST), South Korea in the year of 2021.

Currently, he becomes a fixed term researcher in Cybersecurity Laboratory, Cybersecurity Research Institute, NICT.

研究分野
Explainable AI, web security, intrusion detection system, privacy preserving, machine learning
キーワード
Explainable AI, web security, intrusion detection system, privacy preserving, machine learning

selected papers主要論文

  • Kwangjo Kim and Harry Chandra Tanuwidjaja, “Privacy-Preserving Deep Learning: A Comprehensive Survey“, ISBN 978-981-16-3764-3, 2021, Springer
  • Harry Chandra Tanuwidjaja, Rakyong Choi, Seunggeun Baek, and Kwangjo Kim, “Privacy-Preserving Deep Learning on Machine Learning as a Service – A Comprehensive Survey,” IEEE Access, Vol. 8, pp. 167425-167447, 2020.
  • Kwangjo Kim, Muhamad Erza Aminanto, and Harry Chandra Tanuwidjaja, “Network Intrusion Detection using Deep Learning: A Feature Learning Approach“, ISBN 978-981-13-1443-8, 2018, Springer
  • Muhamad Erza Aminanto, Rakyong Choi, Harry Chandra Tanuwidjaja, Paul D. Yoo, and Kwangjo Kim, “Deep Abstraction and Weighted Feature Selection for Wi-Fi Impersonation Detection“, IEEE Trans. on Information Forensics and Security (IF&S) Vol.13, No.3, pp.621-636
  • Muhamad Erza Aminanto, Harry Chandra Tanuwidjaja, Paul D. Yoo, and Kwangjo Kim “Wi-Fi Intrusion Detection Using Weighted-Feature Selection for Neural Networks Classifier“, International Workshop on Big Data and Information Security 2017 IWBIS 2017, Sep., 23-24, 2017, Jakarta, Indonesia.
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