Secure multi-party computation
Secure multi-party computation (also known as secure computation, multi-party computation (MPC) or privacy-preserving computation) is a subfield of cryptography with the goal of creating methods for parties to jointly compute a function over their inputs while keeping those inputs private. Unlike traditional cryptographic tasks, where cryptography assures security and integrity of communication or storage and the adversary is outside the system of participants (an eavesdropper on the sender and receiver), the cryptography in this model protects participants' privacy from each other.
Secure multi-party computation - Wikipedia Jump to content From Wikipedia, the free encyclopedia Subfield of cryptography Secure multi-party computation (also known as secure computation , multi-party computation ( MPC ) or privacy-preserving computation ) is a subfield of cryptography with the goal of creating methods for parties to jointly compute a function over their inputs while keeping those inputs private. [ 1 ] Unlike traditional cryptographic tasks, where cryptography assures security and integrity of communication or storage and the adversary is outside the system of particip
saved by
related reading
- 535.pdfeprint.iacr.org
- Faster Secure Two-Party Computation in the Single-Execution Settingeprint.iacr.org
- ch3-fundamentalprotocols.pdfsecurecomputation.org
- ULin-MPC-proceedings.dviiacr.org
- 134.pdfeprint.iacr.org
- 189.pdfeprint.iacr.org
- Practical Multi-party Private Set Intersection from Symmetric-Key Techniqueseprint.iacr.org
- Faster Secure Multi-Party Computation of AES and DES Using Lookup Tableseprint.iacr.org
- 304.pdfeprint.iacr.org
- Nick Szabo -- Mutually Confidential Computationfon.hum.uva.nl
- Zero Knowledge Proofs: An illustrated primer – A Few Thoughts on Cryptographic Engineeringblog.cryptographyengineering.com
- Mosaic: Practical Malicious Security for Garbled Circuits on Bitcoineprint.iacr.org