Privacy-Preserving Federated Remote Sensing via Spatially Modulated Feature Perturbation and Ground Alignment
Space-to-ground collaborative remote sensing has become a promising mode for global-scale earth observation. However, the open satellite-ground communication link faces severe security threats, especially when unauthorized eavesdroppers deploy gradient or feature inversion attacks based on deep learning to reconstruct...
Kun Wang, Yuan Gao, Yuanqiao Zhang et al.
· Remote Sensing · 0 citations