Liuwan Zhu

Liuwan Zhu

Assistant Professor

University of Hawaii at Manoa

Biography

I am an assistant professor in Electrical & Computer Engineering at the University of Hawaiʻi at Mānoa. I received my Ph.D. in Electrical & Computer Engineering from Old Dominion University, US, in 2023, advised by Dr. Hongyi Wu and Dr. Chunsheng Xin, and B.S. degree in Computer Science from Hunan University, China, in 2017. My research interests in the intersection of cybersecurity and AI. On the one hand, investigate using machine learning/deep learning to solve security problem in computer system or cyber-physical system; on the other hand, investigate the robustness and safety of the AI systems(such as Computer Vision, Vision-Language Multi-Modal models), including adversarial attack and backdoor attack.

Download my resumé .

Interests
  • Machine Learning/Deep Learning for Cybersecurity
  • Robustness and Security of AI model
  • Vision-Language Multi-Modal Learning
Education

  • PhD in Electrical and Computer Engineering, 2017 - 2023

    Old Dominion University

  • BSc in Computer Science, 2013 - 2017

    Hunan University

Recent Publications

L. Zhu, R. Ning, J. Li, C. Xin, and H. Wu, “SEER: Backdoor Detection for Vision-Language Models through Searching Target Text and Image Trigger Jointly. AAAI Conference on Artificial Intelligence. 2024.

L. Zhu, R. Ning, J. Li, C. Xin, and H. Wu, “Most and Least Retrievable Images in Visual-Language Query Systems”, in Proceedings of the European Conference on Computer Vision (ECCV), Tel Aviv, October 23-27, 2022. [PDF]

L. Zhu, R. Ning, C. Xin, and H. Wu, “CLEAR: Clean-up Trigger-Free Backdoor in Neural Networks”, in Proceedings of the IEEE International Conference on Computer Vision (ICCV), October 11-17, 2021. [PDF]

L. Zhu, R. Ning, C. Wang, C. Xin, and H. Wu, “GangSweep: Sweep out Neural Backdoors by GAN”, in ACM International Conference on Multimedia (MM), Seattle, WA, October 12-16 , 2020. [PDF]

R. Ning, C. Wang, C. Xin, J. Li, L. Zhu, and H. Wu, “CapJack: Capture In-Browser Crypto-jacking by Deep Capsule Network through Behavioral Analysis”, in IEEE International Conference on Computer Communications (INFOCOM), Paris, France, April 29-May 2, 2019. (Best In-session Presentation Award). [PDF]

Teaching

EE/ICS660. Computer Architecture [Instructor] (Fall 2023)

GenCyber Summer Camp(Funded by NSA) [Instructor] (Summer 2019-2022)

DeapSECURE Workshop Series(Funded by NSF CyberTraining) [Instructor] (2019-2021)

CYSE635. AI Security and Privacy [Guest Lecturer] (Fall 2021)

CYSE301. Cybersecurity Techniques and Operations [Student Mentor] (Spring 2023)

ECE355. Introduction to Networks and Data Communications [Teatching Assistant] (Fall 2018)

Services

As a Reviewer:

  • IEEE Transaction of Mobile Computing(TMC)
  • IEEE Transactions on Information Forensics & Security(T-IFS)
  • Pervasive and Mobile Computing Journal (PMC)
  • IEEE/CVF CVPR 2023
  • ACM MultiMedia 2023

TPC member:

  • IEEE ICNC 2024
  • ACM WiSec 2024

Faculty Mentor: NSF REU sites at School of Cybersecurity, ODU, 2023