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18561617ca0b4ffa293166b3186e04b0-Paper-Conference.pdf
Neural Information Processing Systems
However, foundational theoretical questions about this algorithm's privacy loss remain open--even in the seemingly simple setting of smooth convex losses over a bounded domain. Our main result resolves these questions: for a large range of parameters, we characterize the differential privacy up to a constant.
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