<ul data-eligibleForWebStory="false"><li>Secure shuffling is a crucial component for private data aggregation and has gained renewed interest in the field of differential privacy.</li><li>A survey has identified, categorized, and compared 26 secure protocols that enable the necessary shuffling functionality.</li><li>Existing works often overlook practical vulnerabilities and performance trade-offs of secure shufflers, leaving a key question on what constitutes a good secure shuffler.</li><li>The survey aims to provide practical guidelines for selecting appropriate protocols and outlines future directions for research in privacy-preserving technologies relying on secure shufflers.</li></ul>

How to Securely Shuffle? A survey about Secure Shufflers for privacy-preserving computations

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