651 66168

CHANG Ee Chien

Associate Professor
Lead Principal Investigator, National Cybersecurity R&D Lab (NCL)

  • Ph.D. (Computer Science, New York University)
  • M.Sc. (National University of Singapore)
  • B.Sc. (Mathematics, National University of Singapore

Ee-Chien Chang is an Associate Professor in the School of Computing at National University of Singapore. He received his PhD in Computer Science from New York University, and was a postdoctoral fellow with DIMACS in Rutgers University and NEC Labs America. His research areas cover information security, multimedia, and their intersection. His earlier works include image forensic, image watermarking and secure cryptographic techniques for noisy data. More recently, he has been investigating issues in data privacy and cloud security. He has published in reputable conferences and journals, including CCS, EUROCRYPT, USENIX Security, ACM Multimedia, INFOCOM, Journal of Applied and Computational Harmonic Analysis, etc. He is a lead-PI of National Cybersecurity R&D Laboratory.



  • Cloud Security

  • Adversarial Machine Learning

  • Applied Cryptography

  • Network Security

  • Multimedia Watermarking


National Cybersecurity R&D Laboratory

Active Defense Mechanism against Adversarial Attacks




  • Pengfei Wu, Jianting Ning, Jiamin Shen, Hongbing Wang and Ee-Chien Chang, Hybrid Trust Multi-Party Computation with Trusted Execution Environment, Network and Distributed System Security Symposium (NDSS), 2022.
  • Sufatrio, Jan Vykopal, Ee-Chien Chang, Collaborative Paradigm of Teaching Penetration Testing using Real-World University Applications, Australasian Computing Education Conference (ACE), 2022.
  • Mingyuan Gao, Hung Dang and Ee-Chien Chang, TEEKAP:Self-Expiring Data Capsule using Trusted Execution Environment, Annual Computer Security Applications Conference (ACSAC), 2021.
  • Ziqi Yang, Jiyi Zhang, Ee-Chien Chang, Zhenkai Liang,Neural Network Inversion in Adversarial Setting vai Background Knowledge Alignment,ACM Conference on Computer and Communication Security (CCS), 2019.
  • Hung Dang, Tien Tuan Anh Dinh, Dumitrel Loghin, Ee-Chien Chang, Qian Lin, Beng Chin Ooi,Towards scaling blockchain systems via sharding (SIGMOD), 2019.
  • Hung Dang, Huang Yue, Ee-Chien Chang, Evading Classifiers by Morphing in the Dark, ACM Conference on Computer and Communications Security (CCS), 2017.
  • Tien Tuan Anh Dinh, Prateek Saxena, Ee-Chien Chang, Beng Chin Ooi, Chunwang Zhang, M2R: Enabling Stronger Privacy in MapReduce Computation (USENIX Security), 2015.
  • Jia Xu, Ee-Chien Chang and Jianying Zhou, Weak Leakage-Resilient Client-side Deduplication of Encrypted Data in Cloud Storage (ASIACCS), 2013.
  • Liming Lu, Ee-Chien Chang and Mun Choon Chan, Website Fingerprinting and Identification using Ordered Feature Sequences (ESORICS), 2010.
  • Ee-Chien Chang, Ren Shen, and Francis Weijian Teo, Finding the Original Point Set Hidden among Chaff (ASIACCS), 2006
  • Ee-Chien Chang, Qiming Li, Hiding Secret Points Amidst Chaff, EUROCRYPT, 2006
  • Ee-Chien Chang, Stephane Mallat and Chee Yap, Wavelet Foveation , Journal of Applied and Computational Harmonic Analysis, volume 9, number 3, 2000.



Introduction to Information Security


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