Ruofan Liu (刘若凡)
Research Fellow in Computer Science, National University of Singapore
I completed my Ph.D. at the National University of Singapore (NUS) under the supervision of Prof. Jin Song Dong. My research lies at the intersection of artificial intelligence and web security, with a particular focus on building trustworthy, vision-based systems for phishing detection, GUI testing, LLM security, and reliable machine learning.
My work has appeared at top-tier security, software engineering, and machine learning venues, including USENIX Security, ISSTA, ICLR, and NeurIPS. I am the lead author of several widely used open-source phishing detection systems, including Phishpedia and PhishLLM.
📚 Education
- 2024.10 – Present. Research Fellow in Computer Science, National University of Singapore (NUS). Research interest: AI for Web Security and LLM Security.
- 2021.01 – 2024.10. Ph.D. in Computer Science, National University of Singapore (NUS). Supervisor: Prof. Jin Song Dong.
- 2016.08 – 2020.06. B.S. in Statistics, National University of Singapore (NUS). FYP Supervisor: Prof. Alexandre Thiéry.
🔥 News
- 2026 — Our paper "DRIP: Defending Prompt Injection via Token-wise Representation Editing and Residual Fusion" is accepted at ACM CCS 2026!
- 2026 — Our paper "XSearch: Explainable Code Search via Concept-to-Code Alignment" is accepted at ISSTA 2026!
📝 Selected Publications
See the full list of publications.
⚒️ Tools and Systems
- Phishpedia: the first reference-based phishing website detector.
- PhishIntention: a reference-based phishing detector modelling both brand intention and credential-taking intention.
- DynaPhish: a complementary module for reference-based phishing detectors with brand knowledge expansion and counterfactual interaction.
- PhishLLM: an LLM-empowered phishing detector.
- Influence4Metric: an influence-function-based explanation and debugging tool for deep metric learning tasks.
🏆 Awards
- 2025. CAICT (China Academy of Information and Communications Technology) — Outstanding Case, 1st "Intelligent Software Testing Pioneer" Program
中国信息通信研究院"首届智能化软件测试领航者典型案例" - 2025. CCF ChinaSoft 2025 Prototype System Competition — First Place (Rank 1/22)
- 2025. China International College Students' Innovation Competition 2025 (Higher-Education Main Track) — National Silver Medal (top 0.01% of 6.19M projects)
中国国际大学生创新大赛2025(互联网+)高教主赛道全国银奖(全国前0.01%,共619万参赛项目) - 2025. China International College Students' Innovation Competition 2025 (SEA) First Place
中国国际大学生创新大赛2025(互联网+)国际项目东南亚赛区第一名 - 2024. China International College Students' Innovation Competition 2024 Bronze Medal
中国国际大学生创新大赛2024(互联网+)国际项目全国铜奖(全国前0.04%) - 2024. China International College Students' Innovation Competition 2024 (Shanghai) Silver Medal
中国国际大学生创新大赛2024(互联网+)国际项目(上海赛区)专项赛银奖 - 2024. National University of Singapore Dean's Graduate Research Excellence Award
- 2021. National University of Singapore Research Achievement Award in 2021/2022 Sem 1
- 2020. Top 1 student in NUS Statistics Batch 2020
- 2020. Lijen Industrial Development Medal (Best Academic Exercise/Projects in the Discipline) in Academic Year 2019
- 2020. NTUC Medal in Academic Year 2019
- 2020. Saw Swee Hock Gold Medal in the Academic Year 2019
- 2020. SNAS Award 2020 (Singapore National Academy of Science)
🏷 Patents
- 2025. Yun Lin, Guanjie Chen, Ruofei Ren, Ruofan Liu, Xiwen Teoh, Yuting Chen, Feng Yu, We Huang, Jinming Li, Liuhua Gong, Lili Gu. GUI Software Testing System and Method Based on Requirement Design Drafts. CN202510267792.7
- 2020. Yun Lin, Ruofan Liu, Dinil Mon Divakaran, Jun Yang Ng, and Jin Song Dong. Phishpedia: Towards an Approach of Phishing Identification with Visual Explanation. Provisional patent filed in Singapore (Trustwave, Singtel). NO. 10202011155P
💪 Service
- 2026. Program Committee — FSE 2026, NDSS MADWeb 2026, and CIKM 2026.
- 2025. Senior Program Committee — CIKM 2025.
- 2023. Program Committee — 28th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC 2023).
- Reviewer — AAAI, NeurIPS, ICLR, CVPR, and IEEE Transactions on Information Forensics & Security (TIFS).
📞 Contact
- Email: liu.ruofan16[at]u[dot]nus[dot]edu
- CV: Ruofan_Liu_CV.pdf
- GitHub: github.com/lindsey98
- Google Scholar: scholar.google.com

