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Secure multi-party computation is a cryptographic technology for running a computation on the confidential inputs of two or more parties so that nobody learns the inputs of others. To simplify, it is a kind of a distributed computer that can process data without seeing it. This has applications in protecting sensitive data such as cryptographic keys, personal data or business secrets. The benefit of the technology is greatest when multiple organisation wish to collaborate, but find themselves unable to share the data.
MPC Alliance (https://www.mpcalliance.org) is an industry union of companies building key management solutions, virtual HSMs, privacy-preserving statistics, ML and AI systems for finance, healthcare and public sector. In the talk, we'll talk of the technology, its applications in security and privacy, with example use cases.
R. Jason Cronk – Privacy Engineer, Enterprivacy Consulting Group
R. Jason Cronk is the author of Strategic Privacy by Design, one of the textbooks for the IAPP's privacy technologist certification (CIPT). He was designated in 2014 as a privacy by design ambassador by the Ontario Information and Privacy Commissioner's office and has been a leading figure in privacy by design and privacy engineering ever since. Currently he works as a consultant and trainer for a boutique firm Enterprivacy Consulting Group. He can be found tweeting @privacymaverick
Dr. Dan Bogdanov met his first significant privacy challenges while working with the data collection systems of the Estonian Genome Center. This inspired him to start researching cryptographic solutions for privacy problems. He is the inventor of Sharemind, a secure multi- party computation system for collecting, sharing and processing private data. Sharemind is a new kind of computer that analyses digital data without seeing the individual values. This achieves beyond-the-state-of-the-art data protection, as has been demonstrated in various applications processing tax, education, genomic and financial data.
Dr. Bogdanov has been a research team lead for multiple privacy technology research projects with DARPA – an agency of the United States Department of Defense, European FP7 and Horizon 2020. He is the co-author of the ISO/IEC 29101 standard on the architecture of privacy-preserving systems and the ISO/IEC 19592 standard on secret sharing. Today, Dr. Bogdanov leads the Department of Information Security Systems at Cybernetica, an Estonian company creating information security, e-Governance and maritime security solutions. He is a board member of the MPC Alliance, an industry organisation of companies developing and using secure multi-party computation technology
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