AI RESEARCH
Secure Rate-Distortion-Perception: A Randomized Distributed Function Computation Approach for Realism
arXiv CS.CV
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ArXi:2604.20245v1 Announce Type: cross 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.