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Intel, Microsoft Research* and Duality Technologies* are bringing nearly 100 security, privacy and artificial intelligence (AI) community members together to create standards for homomorphic encryption (HE), which is emerging as a leading method to protect privacy in machine learning and cloud computing. The HE standards workshop will take place on Intel’s Santa Clara, California campus on Aug. 17, 2019.

“Many of the AI systems that we use and enjoy today are built on and shaped by data, which can be private and sensitive. As homomorphic encryption gains momentum, Intel is proud to collaborate with Microsoft Research and Duality Technologies on standardizing homomorphic encryption to unlock the power of AI, while still respecting and protecting data privacy,” said Casimir Wierzynski, senior director, office of the CTO, AI Products Group, Intel.

As more data is collected and used to power AI systems, concerns about privacy are on the rise. A recent study by Intouch International* found that 9 in 10 internet users in the U.S. are concerned about the privacy and security of their personal information online. As interest in privacy preserving methods for machine learning grows, it’s essential for standards to be debated and agreed upon by the community – spanning both business and academia.

“Microsoft has invested heavily in developing Homomorphic Encryption, including the release of Microsoft SEAL for commercial use, as a tool to protect enterprise and consumer privacy, while bringing the full power of ML algorithms to process data in the cloud,” said Kristin Lautner, partner research manager, Cryptography and Privacy Research Group, Microsoft. “The Standardization process for Homomorphic Encryption is a key step towards wider acceptance and adoption of this important new encryption tool by industry and governments world-wide. We are confident that the collaboration between Microsoft, Intel, and Duality Technologies on the 4th Homomorphic Encryption Standardization Workshop will accelerate the standardization process and decrease the time to commercial availability of this important privacy protection tool.”

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