Mhd Irvan

According to our database, Mhd Irvan authored at least 18 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Privacy preserving medical knowledge discovery by multiple "patient characteristics" formatted data.

Kenta Kitamura, Mhd Irvan, Rie Shigetomi Yamaguchi

Int. J. Netw. Comput., 2023

Disclosure of Multiple "Patient Characteristics" Format Statistics leaks Quasi-identifier Linkage.

Kenta Kitamura, Mhd Irvan, Rie Shigetomi Yamaguchi

Proceedings of the 9th ACM International Workshop on Security and Privacy Analytics, 2023

Impact of Anonymity Indicator "PFDOC Entropy l-Diversity" on Medical Data Utility.

Kenta Kitamura, Mhd Irvan, Rie Shigetomi Yamaguchi

Proceedings of the Eleventh International Symposium on Computing and Networking, CANDAR 2023, 2023

Brain Intervention Therapy Dilemma: Functional Recovery versus Identity.

Kenta Kitamura, Mhd Irvan, Rie Shigetomi Yamaguchi

Proceedings of the Brain Informatics - 16th International Conference, 2023

XAI for Medicine by ChatGPT Code interpreter.

Kenta Kitamura, Mhd Irvan, Rie Shigetomi Yamaguchi

Proceedings of the 5th International Conference on Big-data Service and Intelligent Computation, 2023

2022

Component-Wise Natural Gradient Descent - An Efficient Neural Network Optimization.

Tran Van Sang, Mhd Irvan, Rie Shigetomi Yamaguchi, Toshiyuki Nakata

Proceedings of the Tenth International Symposium on Computing and Networking, 2022

Medical knowledge discovery by randomly sampled "patient characteristics" formatted data.

Kenta Kitamura, Mhd Irvan, Rie Shigetomi Yamaguchi

Proceedings of the 2022 Tenth International Symposium on Computing and Networking, CANDAR 2022, 2022

Anonymity test attacks and vulnerability indicators for the "Patient characteristics" disclosure in medical articles.

Kenta Kitamura, Mhd Irvan, Rie Shigetomi Yamaguchi

Proceedings of the IEEE European Symposium on Security and Privacy, 2022

Component-Wise Natural Gradient Descent on Deep Neural Networks.

Tran Van Sang, Rie Shigetomi Yamaguchi, Mhd Irvan, Toshiyuki Nakata

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2021

Learning from Smartphone Location Data as Anomaly Detection for Behavioral Authentication through Deep Neuroevolution.

Mhd Irvan, Tran Phuong Thao, Ryosuke Kobayashi, Toshiyuki Nakata, Rie Shigetomi Yamaguchi

Proceedings of the 7th International Conference on Information Systems Security and Privacy, 2021

2020

Score Fusion Method by Neural Network Using GPS and Wi-Fi Log Data.

Katsuya Matsuoka, Mhd Irvan, Ryosuke Kobayashi, Rie Shigetomi Yamaguchi

Proceedings of the International Symposium on Information Theory and Its Applications, 2020

Predicting Smartphone Users' Future Locations through Deep Reinforcement Learning.

Mhd Irvan, Tran Phuong Thao, Ryosuke Kobayashi, Toshiyuki Nakata, Rie Shigetomi Yamaguchi

Proceedings of the Eighth International Symposium on Computing and Networking Workshops, 2020

Self-enhancing GPS-Based Authentication Using Corresponding Address.

Tran Phuong Thao, Mhd Irvan, Ryosuke Kobayashi, Rie Shigetomi Yamaguchi, Toshiyuki Nakata

Proceedings of the Data and Applications Security and Privacy XXXIV, 2020

A Score Fusion Method by Neural Network in Multi-Factor Authentication.

Katsuya Matsuoka, Mhd Irvan, Ryosuke Kobayashi, Rie Shigetomi Yamaguchi

Proceedings of the CODASPY '20: Tenth ACM Conference on Data and Application Security and Privacy, 2020

User authentication based on smartphone application usage patterns through learning classifier systems.

Mhd Irvan, Toshiyuki Nakata, Rie Shigetomi Yamaguchi

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Effective Classification for Multi-modal Behavioral Authentication on Large-Scale Data.

Shuji Yamaguchi, Hidehito Gomi, Ryosuke Kobayashi, Tran Phuong Thao, Mhd Irvan, Rie Shigetomi Yamaguchi

Proceedings of the 15th Asia Joint Conference on Information Security, 2020

2014

An Item Influence-Centric Algorithm for Recommender Systems.

Na Chang, Mhd Irvan, Takao Terano

Proceedings of the Distributed Computing and Artificial Intelligence, 2014

2013

A TV Program Recommender Framework.

Na Chang, Mhd Irvan, Takao Terano

Proceedings of the 17th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2013