1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2026★ 1 cited
How does Bayesian Sampling help Membership Inference Attacks?
Zhenlong Liu, Wenyu Jiang, Feng Zhou +1
Membership Inference Attacks (MIAs) aim to estimate whether a specific data point was used in the training of a given model. Existing state-of-the-art attacks typically rely on tra…
cs.LG2025
Exploring Learning Complexity for Efficient Downstream Dataset Pruning
Wenyu Jiang, Zhenlong Liu, Zejian Xie +3
The ever-increasing fine-tuning cost of large-scale pre-trained models gives rise to the importance of dataset pruning, which aims to reduce dataset size while maintaining task per…
cs.CL2024
On the Noise Robustness of In-Context Learning for Text Generation
Hongfu Gao, Feipeng Zhang, Wenyu Jiang +3
Large language models (LLMs) have shown impressive performance on downstream tasks by in-context learning (ICL), which heavily relies on the quality of demonstrations selected from…