| Significant Permission Identification for Machine Learning Based Android Malware Detection L Sun*, J Li*, Q Yan, Z Li, W Srisa-an, H Ye IEEE Transactions on Industrial Informatics, 2018 | 535 | 2018 |
| Privacy and robustness in federated learning: Attacks and defenses L Lyu, H Yu, X Ma, C Chen, L Sun, J Zhao, Q Yang, SY Philip IEEE transactions on neural networks and learning systems, 2022 | 450* | 2022 |
| Adversarial attack and defense on graph data: A survey L Sun, Y Dou, C Yang, J Wang, PS Yu, L He, B Li IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018 | 186 | 2018 |
| Splitfed: When federated learning meets split learning C Thapa, MAP Chamikara, S Camtepe, L Sun Association for the Advancement of Artificial Intelligence (AAAI), 2022 | 184 | 2022 |
| A survey on text classification: From traditional to deep learning Q Li, H Peng, J Li, C Xia, R Yang, L Sun, PS Yu, L He ACM Transactions on Intelligent Systems and Technology (TIST) 13 (2), 1-41, 2022 | 175* | 2022 |
| Membership Inference Attacks on Machine Learning: A Survey H Hu, Z Salcic, L Sun, G Dobbie, PS Yu, X Zhang ACM Computing Surveys (CSUR), 2022 | 123 | 2022 |
| Deep learning towards mobile applications J Wang, B Cao, P Yu, L Sun, W Bao, X Zhu 2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018 | 115 | 2018 |
| Ldp-fl: Practical private aggregation in federated learning with local differential privacy L Sun, J Qian, X Chen International Joint Conference on Artificial Intelligence (IJCAI), 2021 | 103 | 2021 |
| Adv-bert: Bert is not robust on misspellings! generating nature adversarial samples on bert L Sun, K Hashimoto, W Yin, A Asai, J Li, P Yu, C Xiong arXiv preprint arXiv:2003.04985, 2020 | 97* | 2020 |
| Fedgraphnn: A federated learning system and benchmark for graph neural networks C He, K Balasubramanian, E Ceyani, C Yang, H Xie, L Sun, L He, L Yang, ... arXiv preprint arXiv:2104.07145, 2021 | 96 | 2021 |
| Multi-round influence maximization L Sun, W Huang, PS Yu, W Chen Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 91 | 2018 |
| User Preference-aware Fake News Detection Y Dou, K Shu, C Xia, PS Yu, L Sun ACM Special Interest Group on Information Retrieval (SIGIR), 2021 | 87 | 2021 |
| Private Model Compression via Knowledge Distillation J Wang, W Bao, L Sun, X Zhu, B Cao, SY Philip Association for the Advancement of Artificial Intelligence (AAAI), 2019 | 85 | 2019 |
| SigPID: Significant Permission Identification for Android Malware Detection L Sun, Z Li, Q Yan, W Srisa-an, Y Pan MALWARE, 2016 | 84 | 2016 |
| Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks L Sun, C Xia, W Yin, T Liang, PS Yu, L He International Conference on Computational Linguistics (COLING), 2020 | 74 | 2020 |
| Federated model distillation with noise-free differential privacy L Sun, L Lyu International Joint Conference on Artificial Intelligence (IJCAI), 2021 | 65 | 2021 |
| Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning L Sun, Y Wang, C Bokai, PS Yu, W Srisa-an, AD Leow ECML-PKDD, 2017 | 55 | 2017 |
| Privacy-preserving federated depression detection from multisource mobile health data X Xu, H Peng, MZA Bhuiyan, Z Hao, L Liu, L Sun, L He IEEE Transactions on Industrial Informatics 18 (7), 4788-4797, 2021 | 52* | 2021 |
| DroidClassifier: efficient adaptive mining of application-layer header for classifying android malware Z Li, L Sun, Q Yan, W Srisa-an, Z Chen International Conference on Security and Privacy in Communication Systems …, 2016 | 48 | 2016 |
| A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT C Zhou, Q Li, C Li, J Yu, Y Liu, G Wang, K Zhang, C Ji, Q Yan, L He, ... arXiv preprint arXiv:2302.09419, 2023 | 44 | 2023 |
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoПотвърден имейл адрес: cs.uic.edu
