Privacy and Robustness in Federated Learning: Attacks and Defenses L Lyu, H Yu, X Ma, C Chen, L Sun, J Zhao, Q Yang, PS Yu IEEE Transactions on Neural Networks and Learning Systems, 2022 | 843* | 2022 |
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 | 633 | 2018 |
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT Y Cao, S Li, Y Liu, Z Yan, Y Dai, PS Yu, L Sun arXiv preprint arXiv:2303.04226, 2023 | 479 | 2023 |
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 | 458* | 2022 |
SplitFed: When Federated Learning Meets Split Learning C Thapa, MAP Chamikara, S Camtepe, L Sun Association for the Advancement of Artificial Intelligence (AAAI), 2022 | 457 | 2022 |
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, ... 🏆 Hugging Face Daily Papers, 2023 | 387 | 2023 |
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 | 359 | 2022 |
Adversarial Attack and Defense on Graph Data: A Survey L Sun, Y Dou, C Yang, K Zhang, J Wang, SY Philip, L He, B Li IEEE Transactions on Knowledge and Data Engineering, 2023 | 298 | 2023 |
AugGPT: Leveraging ChatGPT for Text Data Augmentation H Dai, Z Liu, W Liao, X Huang, Y Cao, Z Wu, L Zhao, S Xu, W Liu, N Liu, ... IEEE Transactions on Big Data, 2024 | 214* | 2024 |
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 | 208 | 2021 |
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 | 188 | 2021 |
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, ... ICLR 2021 Workshop on Distributed and Private Machine Learning (DPML), 2021 | 181* | 2021 |
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 | 144 | 2020 |
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 | 134* | 2020 |
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 | 132 | 2018 |
Subgraph Federated Learning with Missing Neighbor Generation K Zhang, C Yang, X Li, L Sun, SM Yiu 🏆 Advances in Neural Information Processing Systems (NeurIPS) - Spotlight, 2021 | 120 | 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 | 115 | 2019 |
DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4 Z Liu, Y ?Huang, X Yu, L Zhang, Z Wu, C Cao, H Dai, L Zhao, L Sun, ... arxiv, 2023 | 113 | 2023 |
Multi-Round Influence Maximization L Sun, W Huang, PS Yu, W Chen Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 112 | 2018 |
Federated Model Distillation with Noise-Free Differential Privacy L Sun, L Lyu International Joint Conference on Artificial Intelligence (IJCAI), 2021 | 111 | 2021 |