Secure Rate-Distortion-Perception: A Randomized Distributed Function Computation Approach for Realism
Fundamental rate-distortion-perception (RDP) trade-offs arise in applications requiring maintained perceptual quality of reconstructed data, such as neural image compression. When compressed data is transmitted over public communication channels, security risks emerge. We therefore study secure RDP under negligible information leakage over both noiseless channels and broadcast channels, BCs, with correlated noise components. For noiseless channels, the exact secure RDP region is characterized. For BCs, an inner bound is derived and shown to be tight for a class of more-capable BCs. Separate source-channel coding is further shown to be optimal for this exact secure RDP region with unlimite...
| Authors | Gustaf Åhlgren, Onur Günlü |
|---|---|
| Primary category | cs.IT |
| Published | 22 April 2026 |
| Last updated at source | 22 April 2026 |
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