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Provides a framework for Verifiable Distributed Differential Privacy (VDDP), ensuring that servers in a distributed setting correctly apply differential privacy noise rather than executing unfaithfully or maliciously.
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The project represents a research-oriented implementation of a verifiable DP protocol. While the theoretical approach to detecting malicious noise sampling in distributed environments is specialized, the repository has zero stars and minimal engagement, indicating it is primarily a companion to an academic paper rather than a production-ready tool.
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