2 citations · 2 across the 5 of their papers we have counts for
5 papers
Rapid LoRA Aggregation for Wireless Channel Adaptation in Open-Set Radio Frequency Fingerprinting
Mingxi Zhang, Renjie Xie, Jincheng Wang +2
Radio frequency fingerprints (RFFs) enable secure wireless authentication but struggle in open-set scenarios with unknown devices and varying channels. Existing methods face challe…
Revisiting Black-Box Model Ownership Verification through Information Theory
Aoting Hu, Yanzhi Chen, Renjie Xie +2
Modern machine learning models require substantial computational resources and data to train, making them valuable intellectual property. Model watermarking has emerged as a practi…
Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective
Jiayuan Chen, Xiang Zhang, Yinfei Xu +3
Recently, graph-based models designed for downstream tasks have significantly advanced research on graph neural networks (GNNs). GNN baselines based on neural message-passing mecha…
Disentangled Representation Learning for RF Fingerprint Extraction under Unknown Channel Statistics
Renjie Xie, Wei Xu, Jiabao Yu +3
Deep learning (DL) applied to a device's radio-frequency fingerprint~(RFF) has attracted significant attention in physical-layer authentication due to its extraordinary classificat…
A Generalizable Model-and-Data Driven Approach for Open-Set RFF Authentication
Renjie Xie, Wei Xu, Yanzhi Chen +4
Radio-frequency fingerprints~(RFFs) are promising solutions for realizing low-cost physical layer authentication. Machine learning-based methods have been proposed for RFF extracti…