Inference Privacy requires that a model's output distributions for any two inputs within a chosen radius alpha are almost identical, and it is implemented by calibrating input or output noise with standard differential privacy machinery.
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Inference Privacy: Properties and Mechanisms
Inference Privacy requires that a model's output distributions for any two inputs within a chosen radius alpha are almost identical, and it is implemented by calibrating input or output noise with standard differential privacy machinery.