Követés
Qi HU
Qi HU
PhD in CSE, HKUST
E-mail megerősítve itt: connect.ust.hk
Cím
Hivatkozott rá
Hivatkozott rá
Év
Privacy in large language models: Attacks, defenses and future directions
H Li, Y Chen, J Luo, J Wang, H Peng, Y Kang, X Zhang, Q Hu, C Chan, ...
arXiv preprint arXiv:2310.10383, 2023
582023
PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models
H Li, D Guo, D Li, W Fan, Q Hu, X Liu, C Chan, D Yao, Y Yao, Y Song
Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024
16*2024
Backdoor Removal for Generative Large Language Models
H Li, Y Chen, Z Zheng, Q Hu, C Chan, H Liu, Y Song
arXiv preprint arXiv:2405.07667, 2024
142024
User Consented Federated Recommender System Against Personalized Attribute Inference Attack
Q Hu, Y Song
Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024
82024
FedCQA: Answering Complex Queries on Multi-Source Knowledge Graphs via Federated Learning
Q Hu, W Jiang, H Li, Z Wang, J Bai, Q Mao, Y Song, L Fan, J Li
arXiv preprint arXiv:2402.14609, 2024
42024
Independent Distribution Regularization for Private Graph Embedding
Q Hu, Y Song
Proceedings of the 32nd ACM International Conference on Information and …, 2023
32023
Privacy-Preserved Neural Graph Databases
Q Hu, H Li, J Bai, Z Wang, Y Song
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
2*2024
Knowcomp at semeval-2024 task 9: Conceptualization-augmented prompting with large language models for lateral reasoning
W Wang, B Xu, H Shi, J Bai, Q Hu, Y Song
Proceedings of the 18th International Workshop on Semantic Evaluation …, 2024
12024
FedAssistant: Dialog Agents with Two-side Modeling
H Li, Y Su, Q Hu, J Bai, Y Jin, Y Song
International Workshop on Trustworthy Federated Learning in Conjunction with …, 2022
12022
Top Ten Challenges Towards Agentic Neural Graph Databases
J Bai, Z Wang, Y Zhou, H Yin, W Fei, Q Hu, Z Deng, J Cheng, T Zheng, ...
arXiv preprint arXiv:2501.14224, 2025
2025
Node Level Graph Autoencoder: Unified Pretraining for Textual Graph Learning
W Hu, H Jing, Q Hu, H Li, Y Song
arXiv preprint arXiv:2408.07091, 2024
2024
Federated Neural Graph Databases
Q Hu, W Jiang, H Li, Z Wang, J Bai, Q Mao, Y Song, L Fan, J Li
arXiv preprint arXiv:2402.14609, 2024
2024
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