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This section explores practical applications of verifiable privacy-preserving computations in scenarios such as outsourcing, blockchain, genomics, and e-voting. Each application comes with specific requirements and efficiency considerations, shedding light on the challenges of combining verifiability with privacy in diverse real-world settings. Whether securing genomic insights or unraveling the layers of verifiability in electronic voting systems, this section provides insights into the intricate balance between privacy and trust in computation.
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