4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CR2024
Fed-AugMix: Balancing Privacy and Utility via Data Augmentation
Haoyang Li, Wei Chen, Xiaojin Zhang
Gradient leakage attacks pose a significant threat to the privacy guarantees of federated learning. While distortion-based protection mechanisms are commonly employed to mitigate t…
cs.AR2024★ 4 cited
HDLdebugger: Streamlining HDL debugging with Large Language Models
Xufeng Yao, Haoyang Li, Tsz Ho Chan +5
In the domain of chip design, Hardware Description Languages (HDLs) play a pivotal role. However, due to the complex syntax of HDLs and the limited availability of online resources…