Publications
==== 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. pdf, 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. ICSE 2023. pdf.
==== 2022 ========
- Ruofan Liu, Yun Lin, Xianglin Yang, Jin Song Dong. Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective. NeurIPS 2022. code, website, pdf, video.
- Xianglin Yang, Yun Lin, Ruofan Liu, Jin Song Dong. Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training. IJCAI 2022. pdf, 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. pdf, 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. AAAI 2022. pdf, website, video, code.
==== 2021 ========