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Department of Computer Science, Boston University
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You can protect individual privacy in disease transmission models without significantly compromising the accuracy of epidemiological insights.
Local node differential privacy can achieve accuracy comparable to centralized node privacy for some graph problems, challenging the conventional wisdom that local privacy always implies a significant accuracy loss.
