2 papers
cs.CV2026
Reinforcement-Guided Synthetic Data Generation for Privacy-Sensitive Identity Recognition
Xuemei Jia, Jiawei Du, Hui Wei +3
High-fidelity generative models are increasingly needed in privacy-sensitive scenarios, where access to data is severely restricted due to regulatory and copyright constraints. Thi…
cs.LG2024
Unsupervised Contrastive Learning for Robust RF Device Fingerprinting Under Time-Domain Shift
Jun Chen, Weng-Keen Wong, Bechir Hamdaoui
Radio Frequency (RF) device fingerprinting has been recognized as a potential technology for enabling automated wireless device identification and classification. However, it faces…