Publications

A full list is also available on my Google Scholar profile. (# denotes equal contribution.)

2026

Ruofan Liu, Yun Lin, Zhiyong Huang, and Jin Song Dong. "DRIP: Defending Prompt Injection via Token-wise Representation Editing and Residual Fusion." ACM CCS 2026. [Paper] [Code]
Yiming Liu#, Ruofan Liu#, Yun Lin, Zicong Zhang, Weiyu Kong, Pengnian Qi, Xiao Cheng, Weinan Zhang, Qianxiang Wang, and Linpeng Huang. "XSearch: Explainable Code Search via Concept-to-Code Alignment." ISSTA 2026. [Paper]
Murong Ma, Ruofan Liu, Yun Lin, Zhiyong Huang, and Jin Song Dong. "TrainRef: Curating Data with Label Distribution and Minimal Reference for Accurate Prediction and Reliable Confidence." ICLR 2026. (Co-corresponding author) [Paper] [Code]
Keke Ding, Ruimin Xu, Xiaowen Chao, Mengci Li, Tao Sun, Tianbiao Yang, Min Zhu, Xufei Peng, Ruofan Liu, Peiyang Luo, Guoli Tian, Yun Lin, Guoxiang Xie, Xiaojiao Zheng, Lu Zhang, Wei Jia, and Tianlu Chen. "Amino acid-based biological age clock and its implications for human health and aging." Nature Communications, 2026. [Paper] [Code]

Ruofan Liu, Xiwen Teoh, Yun Lin, Guanjie Chen, Ruofei Ren, Denys Poshyvanyk, and Jin Song Dong. "GUIPilot: A Consistency-based Mobile GUI Testing Approach for Detecting Application-specific Bugs." ISSTA 2025. [Paper] [Code]
Xiwen Teoh, Yun Lin, Siqi Li, Ruofan Liu, Avi Sollomoni, Yaniv Harel, and Jin Song Dong. "Are CAPTCHAs Still Bot-hard? Generalized Visual CAPTCHA Solving with Agentic Vision Language Model." USENIX Security 2025. [Paper] [Code]

Ruofan Liu, Yun Lin, Xiwen Teoh, Gongshen Liu, Zhiyong Huang, and Jin Song Dong. "Less Defined Knowledge and More True Alarms: Reference-based Phishing Detection without a Pre-defined Reference List." USENIX Security 2024. [Paper] [Code]
Xiwen Teoh, Yun Lin, Ruofan Liu, Zhiyong Huang, and Jin Song Dong. "PhishDecloaker: Detecting CAPTCHA-cloaked Phishing Websites via Hybrid Vision-based Interactive Models." USENIX Security 2024. [Paper] [Code]

Ruofan Liu, Yun Lin, Yifan Zhang, Penn Han Lee, and Jin Song Dong. "Knowledge Expansion and Counterfactual Interaction for Reference-Based Phishing Detection." USENIX Security 2023. [Paper] [Code]
Xiaoning Ren, Yun Lin, Yinxing Xue, Ruofan Liu, Jun Sun, Zhiyong Feng, and Jin Song Dong. "DeepArc: Modularizing Neural Networks for the Model Maintenance." International Conference on Software Engineering (ICSE) 2023. [Paper]

Ruofan Liu, Yun Lin, Xianglin Yang, and Jin Song Dong. "Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective." Neural Information Processing Systems (NeurIPS) 2022. [Paper] [Code] [Website] [Video]
Xianglin Yang, Yun Lin, Ruofan Liu, and Jin Song Dong. "Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training." International Joint Conference on Artificial Intelligence (IJCAI) 2022. [Paper] [Code] [Website]
Ruofan Liu, Yun Lin, Xianglin Yang, Siang Hwee Ng, Dinil Mon Divakaran, and Jin Song Dong. "Inferring Phishing Intention via Webpage Appearance and Dynamics: A Deep Vision Based Approach." USENIX Security 2022. [Paper] [Code] [Website]
Xianglin Yang, Yun Lin, Ruofan Liu, Zhenfeng He, Chao Wang, Jin Song Dong, and Hong Mei. "DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training." Association for the Advancement of Artificial Intelligence (AAAI) 2022. [Paper] [Code] [Website] [Video]

Yun Lin#, Ruofan Liu#, Dinil Mon Divakaran, Jun Yang Ng, Qing Zhou Chan, Yiwen Lu, Yuxuan Si, Fan Zhang, and Jin Song Dong. "Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages." USENIX Security 2021. [Paper] [Code] [Website] [Video]