| Phishpedia: A hybrid deep learning based approach to visually identify phishing webpages Y Lin, R Liu, DM Divakaran, JY Ng, QZ Chan, Y Lu, Y Si, F Zhang, ... 30th USENIX Security Symposium (USENIX Security 21), 3793-3810, 2021 | 99* | 2021 |
| Inferring Phishing Intention via Webpage Appearance and Dynamics: A Deep Vision Based Approach R Liu, Y Lin, X Yang, SH Ng, DM Divakaran, JS Dong 31st USENIX Security Symposium (USENIX Security 22), 1633--1650, 2022 | 43 | 2022 |
| Building robust phishing detection system: an empirical analysis J Lee, P Ye, R Liu, DM Divakaran, MC Chan NDSS MADWeb, 2020 | 18 | 2020 |
| Deepvisualinsight: Time-travelling visualization for spatio-temporal causality of deep classification training X Yang, Y Lin, R Liu, Z He, C Wang, JS Dong, H Mei Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 5359-5366, 2022 | 5 | 2022 |
| Deeparc: Modularizing neural networks for the model maintenance X Ren, Y Lin, Y Xue, R Liu, J Sun, Z Feng, JS Dong 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 2 | 2023 |
| Debugging and explaining metric learning approaches: An influence function based perspective R Liu, Y Lin, X Yang, JS Dong Advances in Neural Information Processing Systems 35, 7824-7837, 2022 | 2 | 2022 |
| Knowledge Expansion and Counterfactual Interaction for Reference-Based Phishing Detection R Liu, Y Lin, Y Zhang, PH Lee, JS Dong 32nd USENIX Security Symposium (USENIX Security 23), 4139--4156, 2023 | 1 | 2023 |
| Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training. X Yang, Y Lin, R Liu, JS Dong IJCAI, 4022-4028, 2022 | 1 | 2022 |
Yun LinAssociate Professor, Shanghai Jiao Tong UniversityVerified email at cs.sjtu.edu.cn
