| RLXSS: Optimizing XSS detection model to defend against adversarial attacks based on reinforcement learning Y Fang, C Huang, Y Xu, Y Li Future Internet 11 (8), 177, 2019 | 36 | 2019 |
| MFXSS: An effective XSS vulnerability detection method in JavaScript based on multi-feature model Z Liu, Y Fang, C Huang, Y Xu Computers & Security 124, 103015, 2023 | 27 | 2023 |
| VulEye: a novel graph neural network vulnerability detection approach for PHP application C Lin, Y Xu, Y Fang, Z Liu Applied Sciences 13 (2), 825, 2023 | 21 | 2023 |
| HGHAN: Hacker group identification based on heterogeneous graph attention network Y Xu, Y Fang, C Huang, Z Liu Information Sciences 612, 848-863, 2022 | 17 | 2022 |
| GAXSS: effective payload generation method to detect XSS vulnerabilities based on genetic algorithm Z Liu, Y Fang, C Huang, Y Xu Security and Communication Networks 2022 (1), 2031924, 2022 | 17 | 2022 |
| Providing email privacy by preventing webmail from loading malicious XSS payloads Y Fang, Y Xu, P Jia, C Huang Applied Sciences 10 (13), 4425, 2020 | 17 | 2020 |
| Multi-target label backdoor attacks on graph neural networks K Wang, H Deng, Y Xu, Z Liu, Y Fang Pattern Recognition 152, 110449, 2024 | 15 | 2024 |
| Enhancing phishing email detection through ensemble learning and undersampling Q Qi, Z Wang, Y Xu, Y Fang, C Wang Applied Sciences 13 (15), 8756, 2023 | 15 | 2023 |
| Against malicious SSL/TLS encryption: identify malicious traffic based on random forest Y Fang, Y Xu, C Huang, L Liu, L Zhang Fourth International Congress on Information and Communication Technology …, 2020 | 10 | 2020 |
| Black-box adversarial windows malware generation via united puppet-based dropper and genetic algorithm S Wang, Y Fang, Y Xu, Y Wang 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th …, 2022 | 4 | 2022 |
| Few-shot graph classification on cross-site scripting attacks detection H Pan, Y Fang, W Guo, Y Xu, C Wang Computers & Security 140, 103749, 2024 | 3 | 2024 |
| Log Anomaly Detection Based on Hierarchical Graph Neural Network and Label Contrastive Coding. Y Fang, Z Zhao, Y Xu, Z Liu Computers, Materials & Continua 74 (2), 2023 | 3 | 2023 |
| TCCCD: Triplet-Based Cross-Language Code Clone Detection Y Fang, F Zhou, Y Xu, Z Liu Applied Sciences 13 (21), 12084, 2023 | 2 | 2023 |
| SpearBot: Leveraging Large Language Models in a Generative-Critique Framework for Spear-Phishing Email Generation Q Qi, Y Luo, Y Xu, W Guo, Y Fang arXiv preprint arXiv:2412.11109, 2024 | 1 | 2024 |
| Hacker group identification based on dynamic heterogeneous graph node update Y Xu, Y Fang, C Huang, Z Liu, W Cao Applied Soft Computing 158, 111587, 2024 | 1 | 2024 |
| PWAGAT: Potential Web attacker detection based on graph attention network Y Xu, Y Fang, Z Liu, Q Zhang Neurocomputing 557, 126725, 2023 | 1 | 2023 |
| Web Attack Payload Identification and Interpretability Analysis Based on Graph Convolutional Network Y Xu, Y Fang, Z Liu 2022 18th International Conference on Mobility, Sensing and Networking (MSN …, 2022 | 1 | 2022 |
| Automatic optimization for generating adversarial malware based on prioritized evolutionary computing Y Xu, Y Fang, Y Xu, Z Wang Applied Soft Computing, 112933, 2025 | | 2025 |
| Unknown web attack threat detection based on large language model Y Xu, Q Zhang, H Deng, Z Liu, C Yang, Y Fang Applied Soft Computing, 112905, 2025 | | 2025 |
| Cross-site Scripting Threat Intelligence Detection Based on Deep Learning Z Liu, Y Fang, Y Xu International Conference on Frontiers in Cyber Security, 89-104, 2022 | | 2022 |
Yong FangSichuan UniversityVerified email at scu.edu.cn
