AnonPSI: An Anonymity Assessment Framework for PSI

ePrint Report: AnonPSI: An Anonymity Assessment Framework for PSI

Bo Jiang, Jian Du, Qiang Yan

Private Set Intersection (PSI) is a widely used protocol that enables two parties to securely compute a function over the intersected part of their shared datasets and has been a significant research focus over the years. However, recent studies have highlighted its vulnerability to Set Membership Inference Attacks (SMIA), where an adversary might deduce an individual's membership by invoking multiple PSI protocols. This presents a …

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