Shenglai Zeng

According to our database, Shenglai Zeng authored at least 13 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models.

Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu

CoRR, 2024

Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data.

Shenglai Zeng, Jiankun Zhang, Pengfei He, Jie Ren, Tianqi Zheng, Hanqing Lu, Han Xu, Hui Liu, Yue Xing, Jiliang Tang

CoRR, 2024

Copyright Protection in Generative AI: A Technical Perspective.

Jie Ren, Han Xu, Pengfei He, Yingqian Cui, Shenglai Zeng, Jiankun Zhang, Hongzhi Wen, Jiayuan Ding, Hui Liu, Yi Chang, Jiliang Tang

CoRR, 2024

Sharpness-Aware Data Poisoning Attack.

Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Hui Liu, Charu C. Aggarwal, Jiliang Tang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

On the Generalization of Training-based ChatGPT Detection Methods.

Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Unveiling and Mitigating Memorization in Text-to-Image Diffusion Models Through Cross Attention.

Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang

Proceedings of the Computer Vision - ECCV 2024, 2024

The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG).

Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing, Han Xu, Jie Ren, Yi Chang, Shuaiqiang Wang, Dawei Yin, Jiliang Tang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Exploring Memorization in Fine-tuned Language Models.

Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

HFedMS: Heterogeneous Federated Learning With Memorable Data Semantics in Industrial Metaverse.

Shenglai Zeng, Zonghang Li, Hongfang Yu, Zhihao Zhang, Long Luo, Bo Li, Dusit Niyato

IEEE Trans. Cloud Comput., 2023

Confidence-driven Sampling for Backdoor Attacks.

Pengfei He, Han Xu, Yue Xing, Jie Ren, Yingqian Cui, Shenglai Zeng, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou

CoRR, 2023

Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT.

Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking.

Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training.

Shenglai Zeng, Zonghang Li, Hongfang Yu, Yihong He, Zenglin Xu, Dusit Niyato, Han Yu

Proceedings of the Database Systems for Advanced Applications, 2022