World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
7446
World Ranking
11071
National Ranking
149

Overview

Zhenkai Liang is affiliated with the National University of Singapore in Singapore and works primarily in the field of Computer Science, with a focus on multiple specialized subfields. Their research spans Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing, and Software. The scientist has contributed extensively to topics such as Advanced Malware Detection Techniques, Network Security and Intrusion Detection, Security and Verification in Computing, Cybercrime and Law Enforcement Studies, Information and Cyber Security, Terrorism, Counterterrorism, and Political Violence, as well as Software Testing and Debugging Techniques.

Their recent publications reflect a focus on cybersecurity, threat analysis, and system vulnerabilities. Notable papers include:

  • SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records, 2022, 2022 IEEE Symposium on Security and Privacy (SP)
  • I Know Your Social Network Accounts: A Novel Attack Architecture for Device-Identity Association, 2022, IEEE Transactions on Dependable and Secure Computing
  • PalanTír, 2022, Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
  • Semantic-Fuzzing-Based Empirical Analysis of Voice Assistant Systems of Asian Symbol Languages, 2021, IEEE Internet of Things Journal
  • AttacKG: Constructing Technique Knowledge Graph from Cyber Threat Intelligence Reports, 2021, arXiv (Cornell University)

Frequent co-authors with whom Liang has collaborated include Jiahao Liu, Yuancheng Jiang, Roland H. C. Yap, Chuqi Zhang, and Bonan Ruan, highlighting a collaborative research network.

The primary venues for Liang's work include:

  • arXiv (Cornell University)
  • 2022 IEEE Symposium on Security and Privacy (SP)
  • Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
  • IEEE Transactions on Dependable and Secure Computing
  • Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security

Best Publications

  • BitBlaze: A New Approach to Computer Security via Binary Analysis

    Dawn Song;David Brumley;Heng Yin;Juan Caballero

  • Jump-oriented programming: a new class of code-reuse attack

    Tyler Bletsch;Xuxian Jiang;Vince W. Freeh;Zhenkai Liang

  • Polyglot: automatic extraction of protocol message format using dynamic binary analysis

    Juan Caballero;Heng Yin;Zhenkai Liang;Dawn Song

  • Data-Oriented Programming: On the Expressiveness of Non-control Data Attacks

    Hong Hu;Shweta Shinde;Sendroiu Adrian;Zheng Leong Chua

  • Automatically Identifying Trigger-based Behavior in Malware

    David Brumley;Cody Hartwig;Zhenkai Liang;James Newsome

  • Fast and automated generation of attack signatures: a basis for building self-protecting servers

    Zhenkai Liang;R. Sekar

  • HookFinder: Identifying and Understanding Malware Hooking Behaviors

    Heng Yin;Zhenkai Liang;Dawn Song

  • Automatic generation of data-oriented exploits

    Hong Hu;Zheng Leong Chua;Sendroiu Adrian;Prateek Saxena

  • Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment

    Ziqi Yang;Jiyi Zhang;Ee-Chien Chang;Zhenkai Liang

  • Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment

    Ziqi Yang;Jiyi Zhang;Ee-Chien Chang;Zhenkai Liang

  • Towards automatic discovery of deviations in binary implementations with applications to error detection and fingerprint generation

    David Brumley;Juan Caballero;Zhenkai Liang;James Newsome

  • SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records

    Unknown

  • Isolated program execution: an application transparent approach for executing untrusted programs

    Z. Liang;V.N. Venkatakrishnan;R. Sekar

  • Monet: A User-Oriented Behavior-Based Malware Variants Detection System for Android

    Mingshen Sun;Xiaolei Li;John C. S. Lui;Richard T. B. Ma

  • DARWIN: An approach to debugging evolving programs

    Dawei Qi;Abhik Roychoudhury;Zhenkai Liang;Kapil Vaswani

  • Neural Nets Can Learn Function Type Signatures From Binaries

    Zheng Leong Chua;Shiqi Shen;Prateek Saxena;Zhenkai Liang

  • Phishing-Alarm: Robust and Efficient Phishing Detection via Page Component Similarity

    Jian Mao;Wenqian Tian;Pei Li;Tao Wei

  • AirBag: Boosting Smartphone Resistance to Malware Infection.

    Chiachih Wu;Yajin Zhou;Kunal Patel;Zhenkai Liang

  • BitScope: Automatically Dissecting Malicious Binaries

    David Brumley;Cody Hartwig;Min Gyung Kang;Zhenkai Liang

  • One-Way Isolation: An Effective Approach for Realizing Safe Execution Environments.

    Weiqing Sun;Zhenkai Liang;V. N. Venkatakrishnan;R. Sekar

  • Darwin: an approach for debugging evolving programs

    Dawei Qi;Abhik Roychoudhury;Zhenkai Liang;Kapil Vaswani

  • Automatic generation of buffer overflow attack signatures: an approach based on program behavior models

    Zhenkai Liang;R. Sekar

Frequent Co-Authors

Prateek Saxena
Prateek Saxena National University of Singapore
Dawn Song
Dawn Song University of California, Berkeley
R. C. Sekar
R. C. Sekar Stony Brook University
Heng Yin
Heng Yin University of California, Riverside
Xuxian Jiang
Xuxian Jiang PeckShield
V. N. Venkatakrishnan
V. N. Venkatakrishnan University of Illinois at Chicago
Juan Caballero
Juan Caballero Madrid Institute for Advanced Studies
David Brumley
David Brumley Carnegie Mellon University
Abhik Roychoudhury
Abhik Roychoudhury National University of Singapore
Jin Song Dong
Jin Song Dong Griffith University

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