Electromagnetic Side-Channel Display Reconstruction Using Attention-Enhanced DRUNet

Electromagnetic information leakage has emerged as a critical side-channel threat, enabling adversaries to reconstruct sensitive display content by capturing unintended emissions from electronic devices. This phenomenon, known as TEMPEST, poses heightened risks in the Internet of Things (IoT) era, where numerous connected devices with embedded displays are deployed across industrial, financial, and consumer domains. Deep learning has improved TEMPEST image reconstruction, but most existing metho