1 citations · 2 across the 4 of their papers we have counts for
4 papers
FedPFT: Federated Proxy Fine-Tuning of Foundation Models
Zhaopeng Peng, Xiaoliang Fan, Yufan Chen +5
Adapting Foundation Models (FMs) for downstream tasks through Federated Learning (FL) emerges a promising strategy for protecting data privacy and valuable FMs. Existing methods fi…
RoDLA: Benchmarking the Robustness of Document Layout Analysis Models
Yufan Chen, Jiaming Zhang, Kunyu Peng +4
Before developing a Document Layout Analysis (DLA) model in real-world applications, conducting comprehensive robustness testing is essential. However, the robustness of DLA models…
EPA: Neural Collapse Inspired Robust Out-of-Distribution Detector
Jiawei Zhang, Yufan Chen, Cheng Jin +2
Out-of-distribution (OOD) detection plays a crucial role in ensuring the security of neural networks. Existing works have leveraged the fact that In-distribution (ID) samples form…
Can Large Language Models Provide Security & Privacy Advice? Measuring the Ability of LLMs to Refute Misconceptions
Yufan Chen, Arjun Arunasalam, Z. Berkay Celik
Users seek security & privacy (S&P) advice from online resources, including trusted websites and content-sharing platforms. These resources help users understand S&P technologies a…