Dang Duy Thang - PhD Student

About Me

I come from Vietnam. My hometown is Danang city, a beautiful harbour located in the middle of Vietnam

I am a PhD Student in the Matsui Lab, the IISEC, Yokohama, Japan. Matsui Lab is a dynamic environment with many dedicated people. In this lab, I can learn, research in many fields relative to embedded systems, hacking tools and ML/AI respectively. My passion is secure of ML/AI systems, how to propose a the state-of-the-art ML/AI algorithm for securing itself is very mystery for me. If you are interested in this areas, ping me at thangddnt@gmail.com.

Experience

2017
-
2009

Teaching Assistant

The University of Danang, Vietnam
2017
-
2016

Co-founder and Project Manager

Connective Lab, Vietnam

I co-founded an outsourcing team for serving customers from Singapore, America
2011
-
2009

Network administrator

Viettel Coporation, Vietnam
2009
-
2008

FPT Software

Team Leader in the internship

Education

Present
-
2017

The Institute of Information Security

Doctor Student
2015
-
2013

National Taiwan University of Science and Technology

Master Degree of Computer Science

A Spatial-pyramid Scene Categorization Algorithm based on Locality-aware Sparse Coding
2009
-
2004

The University of Danang

Bachelor Degree of Information Technology

Webgit for Danang city

Publishcation

[10][J] Dang Duy Thang and Toshihiro Matsui, “Adversarial Examples Identification in an End-to-end System with Image Transformation and Filters”, to appear in IEEE ACCESS (SCIE Q1, IF: 4.098).

[9][J] Dang Duy Thang and Toshihiro Matsui, “Search Space of Adversarial Perturbations Against Image Filters”, International Journal of Advanced Computer Science and Applications (ESCI, IF: 1.324), Vol. 11, No. 1, pp. 11-19, 2020.

[8][C] Dang Duy Thang and Toshihiro Matsui, “A Label-based Approach for Automatic Identifying Adversarial Examples with Image Transformation”, Proc. Of the Seventh International Symposium on Computing and Networking (CANDAR'19), Nagasaki, Japan, November 26-29. IEEE, 2019.

[7][C] Dang Duy Thang and Toshihiro Matsui, “Automated Detection System for Adversarial Examples with High-Frequency Noises Sieve”, Proc. Of the 11th International Symposium on Cyberspace Safety and Security (CSS), Guangzhou, China, December 1-3. Springer, 2019.

[6][C] Dang Duy Thang, Taisei Kondo, Toshihiro Matsui, “A Label-based System for Detecting Adversarial Examples by Using Low Pass Filters”, Computer Security Symposium, Nagasaki, Japan, October 21 - 24, 2019.

[5][C] Taisei Kondo, Dang Duy Thang, Toshihiro Matsui, “Creation of Adversarial Example Attack that is Difficult to Protect by LPF”, Computer Security Symposium, Nagasaki, Japan, October 21 - 24, 2019.

[4][Poster] Dang Duy Thang and Toshihiro Matsui. "White-box Attack on Google Machine Learning System", the 13th International Workshop on Security, Sendai, Japan, 2018. Best Poster Awards

[3][C] Dang Duy Thang, Le Hoai Nam, and Nguyen Tan Khoi. "Developing an Intrusion Detection System for Cloud Computing." In Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion. ACM, 2016.

[2][C] Dang Duy Thang, Shintami C. Hidayati, Yung-Yao Chen, Wen-Huang Cheng, Shih-Wei Sun, and Kai-Lung Hua. "A Spatial-Pyramid Scene Categorization Algorithm based on Locality-aware Sparse Coding." In Multimedia Big Data (BigMM), 2016 IEEE Second International Conference on, pp. 342-345. IEEE, 2016.

[1][C] Van Hieu, Nguyen, Lev V. Utkin, and Dang Duy Thang. "A pessimistic approach for solving a multi-criteria decision making." In Knowledge and Systems Engineering (KSE), 2012 Fourth International Conference on, pp. 121-127. IEEE, 2012.