Liu Zhang

Liu Zhang is a Research Fellow at Nanyang Technological University's SYmmetric cryptography and machine Learning Lab (SyLLab) since February 2025. His work bridges symmetric-key cryptography with advanced machine learning techniques.

• Educational Background:
  • PhD in Cyber Engineering (2024) from Xidian University
  • Visiting PhD Student (2022-2024) at NTU's School of Physical and Mathematical Sciences
  • Master's in Engineering (2017-2020) from Shantou University
  • Bachelor's in Computer Science (2013-2016) from Xinyang Normal University

Research focuses on symmetric-key cryptography, cryptanalysis, and artificial intelligence, with particular emphasis on deep learning-aided cryptanalysis. His publications demonstrate expertise in AES, DES, and block cipher vulnerabilities using neural networks.

Recent publications highlight trends in neural network integration for cryptanalysis, including Differential-Neural Cryptanalysis on AES and Neural-Inspired Advances in Integral Cryptanalysis. He explores theoretical explanations for machine learning applications in cryptographic attacks.

• Scientific Awards:
  • 2019 - National Scholarship (Master)
  • 2018 - National Scholarship (Master)
  • 2015 - National Inspirational Scholarship (Undergraduate)

Supported by the China Scholarship Council for joint training at NTU (2022-2024). His academic journey shows strong ties to both Chinese and Singaporean institutions.