LIANG Zhenkai 梁振凯 Mailing address: 13 Computing Drive Computing 1, #03-27 Singapore, 117417 Phone: (+65) 6516 1226 Email: liangzk @ comp.nus.edu.sg Office: COM1 #03-16

I am an Associate Professor at the School of Computing, National University of Singapore. My interests include research in systems and system security, as well as education. I'm advising the Curiosity Reserach Group with the following missions:

Understanding systems (理解系统), abstracting knowledge (提炼知识), and connecting facts (参悟规律).

We are looking for curious minds to join our exploration. If you share the same view of the world, please do not hesitate to reach me. Curiosity is required, while mentality for repairing things (such as bicycles) is a plus. Positions are available at all levels, from undergraduate researcher/interns, Ph.D. students, and postdoc research fellows.

Selected Publications of Current Research Focus Full List

• FlowMatrix: GPU-Assisted Information-Flow Analysis through Matrix-Based Representation. .
  Kaihang Ji, Jun Zeng, Yuancheng Jiang, Zhenkai Liang, Zheng Leong Chua, Prateek Saxena, and Abhik Roychoudhury.
  In the 31st USENIX Security Symposium , August 2022.
• ShadeWatcher: Recommendation-guided Cyber Threat Analysis using System Audit Records..
  Jun Zeng, Xiang Wang, Jiahao Liu, Yinfang Chen, Zhenkai Liang, Tat-Seng Chua, and Zheng Leong Chua.
  In the IEEE Symposium on Security and Privacy, May 2022.
• WATSON: Abstracting Behaviors from Audit Logs via Aggregation of Contextual Semantics.
  Jun Zeng, Zheng Leong Chua, Yinfang Chen, Kaihang Ji, Zhenkai Liang and Jian Mao.
  In Annual Network & Distributed System Security Symposium (NDSS), February 2021.
• Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment.
  Ziqi Yang, Jiyi Zhang, Ee-Chien Chang, and Zhenkai Liang
  In ACM Conference on Computer and Communications Security (CCS), November 2019.
• One Engine To Serve 'em All: Inferring Taint Rules Without Architectural Semantics.
  Zheng Leong Chua, Yanhao Wang, Teodora Baluta, Prateek Saxena, Zhenkai Liang, and Purui Su.
  In Annual Network & Distributed System Security Symposium (NDSS), February 2019.
• Neural Nets Can Learn Function Type Signatures From Binaries.
  Zheng Leong Chua, Shiqi Shen, Prateek Saxena, and Zhenkai Liang.
  In USENIX Security Symposium, August 2017.
• Data-Oriented Programming: On the Expressiveness of Non-Control Data Attacks.
  Hong Hu, Shweta Shinde, Sendroiu Adrian, Zheng Leong Chua, Prateek Saxena, and Zhenkai Liang.
  In the IEEE Symposium on Security and Privacy, May 2016.
• Tool, Technique, and Tao in Computer Security Education.
  Zhenkai Liang and Jian Mao.
  In IEEE Reliability Magazine, August/September/October, 2015.
• Automatic Generation of Data-Oriented Exploits.
  Hong Hu, Zheng Leong Chua, Sendroiu Adrian, Prateek Saxena, and Zhenkai Liang.
  In the 24th USENIX Security Symposium, Washington DC, August 2015.