Currently, I’m a research fellow at RMIT University. I received my Ph.D. degree at Swinburne University of Technology- Information and Communication Technology (Cybersecurity), under the supervision of Prof. Jun Zhang, Prof. Yang Xiang. I got my MSc Degree at The University of Melbourne in 2020, under the supervision of Prof. Karin Verspoor. I also collaborate with A/Prof Lei pan, Dr. Chao Chen and Dr. Leo Yu Zhang closely. My research interest includes Biometrics, Software Vulnerability Detection, Large Language Model (LLM) and AI.
📝 Publications
Lin Li
, Chao Chen, Lei Pan, Leo Yu Zhang,Jun Zhang, Yang Xiang, 2023, SigA: rPPG-based Authentication for Virtual Reality Head-mounted Display, Accepted by the 26th International Symposium on Research in Attacks, Intrusions and Defenses (RAID)- (CORE A, CCF B, Acceptance rate:23%)Lin Li
, Chao Chen, Lei Pan, Yonghang Tai,Jun Zhang, Yang Xiang, 2023, Hiding Your Signals: A Security Analysis of PPG-based Biometric Authentication, Accepted by European Symposium on Research in Computer Security (ESORICS)- (CORE A, CCF B, Acceptance rate:18.5%)Lin Li
, Chao Chen, Lei Pan, Leo Yu Zhang, Zhifeng Wang, Jun Zhang, Yang Xiang, 2023, A Survey of PPG’s Application in Authentication, Accepted by Computer & Security (COSE)- (CORE B, CCF B, IF:5.6, SJR: Q1)Lin Li
, Chao Chen, Lei Pan, Jun Zhang, Yang Xiang, 2023, SigD: A Cross-Session Dataset for PPG-based User Authentication in Different Demographic Groups, In International Joint Conference on Neural Networks (IJCNN)- (CORE B, CCF C)Lin Li
, Chao Chen, Lei Pan, Jun Zhang, Yang Xiang, 2022, Video is All You Need: Attack-ing PPG-based Biometric Authentication, In Proceedings of the 15th ACM Conference on Computer and Communications Security (CCS) Workshop on Artificial Intelligence and Security (AISec)- Hongwei Wei, Guanjun Lin,
Lin Li
, Heming Jia, 2021, A Context-Aware Neural Embedding for Function-Level Vulnerability Detection, Algorithms. - Jun Zhang,
Lin Li
, Guanjun Lin, Da Fang, Yonghang Tai, Jiechun Huang, 2020, Cyber Resilience in Healthcare Digital Twin on Lung Cancer, IEEE Access.
🏫 TEACHING
- Sessional Supervisor, COMP90082 Software Project, The University of Melbourne, 02/2022- present
- Sessional Lecturer and Convenor, ICT30016, COS30015 and COS80013, Swinburne University of Technology, 07/2022- 12/2023
- Course Developer, ICT30016, Swinburne University of Technology, 02/2023- 07/2023
- Teaching Assistant, Swinburne University of Technology & Swinburne Online, 01/2022- present
🏛️ SERVICES
External Reviewer
- The Forty-first International Conference on Machine Learning (ICML) 2024
- The International Conference on Learning Representations (ICLR) 2024
- The International Joint Conference on Neural Networks (IJCNN) as TPC Reviewer 2024
- The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2023
- Conference on Neural Information Processing Systems (NeurIPS) 2023
- European Conference on Computer Vision (ECCV) 2022
- IEEE Transactions on Information Forensics & Security (TIFS)
- Annals of Telecommunications, Springer
- Journal of Ambient Intelligence and Humanized Computing, Springer
Invited Talks
- INTI University(Malaysia) Cyber Security - New Challenges to Students. 10/2022
- Swinburne University of Technology Course No. COS30015 IT Security (Vietnam Campus) 05/2022
- Swinburne University of Technology Course No. CYB80008 Reverse Engineering Project (Hawthorn Campus) 04/2021
Services
- RMIT Generative AI for Business: A Hands-on Workshop
- The Fifth International Conference on Machine Learning for Cyber Security (Session Chair)
- Swinburne Open Day 2022,2023
- Study Swinburne Expo 2023
- Swinburne VTAC Info Night 2022
- Mentor a mini-group project at P-TECH 03/2022-12/2023
- The 5th International Conference on Science of Cyber Security (SciSec) 2023
Competition, Awards & Honor
- ARC Discovery Project Scholarship 01/2021-present
- Hunan University HuaZhong Hackathon Rank #2 05/2018
- Mathematical Contest in Modeling (Honorable Mention) 01/2017