The work characterizes the scalar Gaussian Rényi rate-distortion-perception-privacy tradeoff under indirect observation and introduces a conditional privacy measure that avoids penalizing legitimate semantic recovery.
On a formula for the l2 wasserstein metric between measures on euclidean and hilbert spaces
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R\'enyi Rate-Distortion-Perception-Privacy Tradeoff under Indirect Observation
The work characterizes the scalar Gaussian Rényi rate-distortion-perception-privacy tradeoff under indirect observation and introduces a conditional privacy measure that avoids penalizing legitimate semantic recovery.