I am currently a postdoctoral fellow in the Department of Computer Science at Tulane University, working with Prof. Jiang Ming. Prior to this, I was a visiting scholar at Tulane University. I obtained my Ph.D. (2025/12) and B.S. (2019/6) degrees from the School of Cyber Science and Engineering at Wuhan University under the supervision of Prof. Guojun Peng.

E-mail: sideliu@outlook.com | sliu35@tulane.edu

๐Ÿ“ Selected Publications

  • CCS '25 Analyzing PDFs like Binaries: Adversarially Robust PDF Malware Analysis via Intermediate Representation and Language Model
    Side Liu, Jiang Ming, Guodong Zhou, Xinyi Liu, Jianming Fu, Guojun Peng
    In Proceedings of the 32nd ACM Conference on Computer and Communications Security (Acceptance rate 13.9%=316/2278)
    CCS Artifact Badges: Available, Functional, Reproduced

  • USENIX Security '25 VAPD: An Anomaly Detection Model for PDF Malware Forensics with Adversarial Robustness
    Side Liu, Jiang Ming, Yilin Zhou, Jianming Fu, Guojun Peng
    In Proceedings of the 34th USENIX Security Symposium (Acceptance rate 17.1%=407/2385)
    USENIX Artifact Badges: Available, Functional

๐ŸŽ– Honors and Awards

  • 2026 - Noteworthy Reviewer Recognition for USENIX Security 2026 Artifact Evaluation.
  • 2022 - 2nd at Datacon Data Security Analytics Competition: Cybercrime Analysis Track.
  • 2021 - 4th at Datacon Data Security Analytics Competition: Email Security Track.
  • 2019 - Outstanding Bachelorโ€™s Degree Thesis of Wuhan University.

๐ŸŽˆ Services

  • Program Committee
    • USENIX Secuity 2027
  • Conference Artifact Evaluation Committee (AEC)
    • USENIX Secuity 2026
  • Conference External Reviewer

    • USENIX Secuity 2026, 2025, 2024
    • PLDI 2026
  • Journal Reviewer

    • IEEE Transactions on Dependable and Secure Computing (2026)
    • Information Processing and Management (2026)
    • Computers & Security (2026)
    • Cybersecurity (2025)
  • Teaching Assistant

    • Software Security@Wuhan University, 2019 Fall, 2021 Fall

๐Ÿ’ป Internships

  • 2024.06 - 2024.08, Tencent Keen Lab, China
    • Security research on intrusion detection and analysis, conducting comprehensive analysis of audit logs using provenance graphs and LLMs.