3 citations · 3 across the 3 of their papers we have counts for
4 papers
Revisiting Pre-trained Language Models for Vulnerability Detection
Youpeng Li, Weiliang Qi, Xuyu Wang +2
The rapid advancement of pre-trained language models (PLMs) has demonstrated promising results for various code-related tasks. However, their effectiveness in detecting real-world…
FedCAP: Robust Federated Learning via Customized Aggregation and Personalization
Youpeng Li, Xinda Wang, Fuxun Yu +3
Federated learning (FL), an emerging distributed machine learning paradigm, has been applied to various privacy-preserving scenarios. However, due to its distributed nature, FL fac…
On the Efficiency of Privacy Attacks in Federated Learning
Nawrin Tabassum, Ka-Ho Chow, Xuyu Wang +2
Recent studies have revealed severe privacy risks in federated learning, represented by Gradient Leakage Attacks. However, existing studies mainly aim at increasing the privacy att…
Rethinking Learning Rate Tuning in the Era of Large Language Models
Hongpeng Jin, Wenqi Wei, Xuyu Wang +2
Large Language Models (LLMs) represent the recent success of deep learning in achieving remarkable human-like predictive performance. It has become a mainstream strategy to leverag…