Publications
2024
- 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.
2023
- 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.
2022
- Ruofan Liu, Yun Lin, Xianglin Yang, 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, 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, Jin Song Dong. "Inferring Phishing Intention via Webpage Appearance and Dynamics: A Deep Vision Based Approach." USENIX Security 2022. Paper, Website, Code.
- 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, Website, Video, Code.
2021
- Yun Lin, Ruofan Liu, Dinil Mon Divakaran, Jun Yang Ng, Qing Zhou Chan, Yiwen Lu, Yuxuan Si, Fan Zhang, Jin Song Dong. "Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages." USENIX Security 2021. Paper, Video, Website, Code.