Sledovať
Shenglai Zeng
Názov
Citované v
Citované v
Rok
Hfedms: Heterogeneous federated learning with memorable data semantics in industrial metaverse
S Zeng, Z Li, H Yu, Z Zhang, L Luo, B Li, D Niyato
2023 Best Paper, IEEE Transaction on Cloud Computing, 2022
632022
Evaluating graph neural networks for link prediction: Current pitfalls and new benchmarking
J Li, H Shomer, H Mao, S Zeng, Y Ma, N Shah, J Tang, D Yin
Advances in Neural Information Processing Systems 36, 3853-3866, 2023
602023
The good and the bad: Exploring privacy issues in retrieval-augmented generation (rag)
S Zeng, J Zhang, P He, Y Xing, Y Liu, H Xu, J Ren, S Wang, D Yin, ...
ACL 2024, 2024
542024
Copyright protection in generative ai: A technical perspective
J Ren, H Xu, P He, Y Cui, S Zeng, J Zhang, H Wen, J Ding, P Huang, ...
arXiv preprint arXiv:2402.02333, 2024
352024
Exploring memorization in fine-tuned language models
S Zeng, Y Li, J Ren, Y Liu, H Xu, P He, Y Xing, S Wang, J Tang, D Yin
ACL 2024, 2023
212023
Heterogeneous federated learning via grouped sequential-to-parallel training
S Zeng, Z Li, H Yu, Y He, Z Xu, D Niyato, H Yu
International Conference on Database Systems for Advanced Applications, 455-471, 2022
182022
Unveiling and mitigating memorization in text-to-image diffusion models through cross attention
J Ren, Y Li, S Zeng, H Xu, L Lyu, Y Xing, J Tang
European Conference on Computer Vision, 340-356, 2024
162024
Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT
S Zeng*, J Wang*, Z Long, Y Wang, H Xiao, F Ma
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023
142023
On the generalization of training-based chatgpt detection methods
H Xu, J Ren, P He, S Zeng, Y Cui, A Liu, H Liu, J Tang
arXiv preprint arXiv:2310.01307, 2023
112023
Mitigating the privacy issues in retrieval-augmented generation (rag) via pure synthetic data
S Zeng, J Zhang, P He, J Ren, T Zheng, H Lu, H Xu, H Liu, Y Xing, J Tang
arXiv preprint arXiv:2406.14773, 2024
92024
Sharpness-aware data poisoning attack
P He, H Xu, J Ren, Y Cui, H Liu, CC Aggarwal, J Tang
arXiv preprint arXiv:2305.14851, 2023
92023
Han Yu. Heterogeneous federated learning via grouped sequential-to-parallel training
S Zeng, Z Li, H Yu, Y He, Z Xu, D Niyato
International Conference on Database Systems for Advanced Applications, 455-471, 0
5
Six-cd: Benchmarking concept removals for benign text-to-image diffusion models
J Ren, K Chen, Y Cui, S Zeng, H Liu, Y Xing, J Tang, L Lyu
arXiv preprint arXiv:2406.14855, 2024
32024
Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective
S Zeng, J Zhang, B Li, Y Lin, T Zheng, D Everaert, H Lu, H Liu, Y Xing, ...
NAACL 2025, 2024
22024
Confidence-driven sampling for backdoor attacks
P He, H Xu, Y Xing, J Ren, Y Cui, S Zeng, J Tang, M Yamada, ...
arXiv preprint arXiv:2310.05263, 2023
12023
Stealthy Backdoor Attack via Confidence-driven Sampling
P He, Y Xing, H Xu, J Ren, Y Cui, S Zeng, J Tang, M Yamada, ...
Transactions on Machine Learning Research, 2023
12023
Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach
S Zeng, P He, K Guo, T Zheng, H Lu, Y Xing, H Liu
arXiv preprint arXiv:2502.14100, 2025
2025
Unveiling Mode Connectivity in Graph Neural Networks
B Li, Z Chen, H Han, S Zeng, J Liu, J Tang
arXiv preprint arXiv:2502.12608, 2025
2025
Unveiling Privacy Risks in LLM Agent Memory
B Wang, W He, P He, S Zeng, Z Xiang, Y Xing, J Tang
arXiv preprint arXiv:2502.13172, 2025
2025
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
Články 1–19