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PRISMA: Differentially Private Synthetic In-Car Telemetry via Differentiable Simulation
Differentially private synthesis of in-car energy consumption data is challenging because the output is high-dimensional, and known lower bounds show that the privacy-utility trade-off degrades with the square root of the number of output dimensions. However, we observe that the intrinsic dimensiona
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