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As the demand for privacy-preserving computation grows across industries—from healthcare to finance to AI—two leading cryptographic technologies have emerged: Secure Multiparty Computation (MPC) and Fully Homomorphic Encryption (FHE). While they are often framed as competitors, the reality is more nuanced.…

While Secure Multiparty Computation (MPC) has long been celebrated for its ability to preserve data privacy, recent research reveals its potential goes far beyond confidentiality. From reducing data inequality to reshaping trust and control in data sharing, MPC is evolving…

Secure Multiparty Computation (MPC) continues to be one of the most vibrant areas in applied cryptography. As organizations look to collaborate on sensitive data without compromising privacy, the development and refinement of efficient, provably secure MPC protocols has become a…

As data privacy becomes a top priority in sectors like finance, healthcare, and government, technologies that enable secure collaboration without compromising sensitive information are becoming essential. One such technology is Secure Multiparty Computation (MPC). Drawing from Yehuda Lindell’s foundational article…

As digital systems increasingly rely on collaborative data processing across organizations, the demand for techniques that preserve both security and functionality has grown. One such technique is Multiparty Computation (MPC), a powerful cryptographic tool that enables multiple entities to compute…