Why is AI facing challenges in the field of data privacy, what is homomorphic encryption, and how could it transform the world of data?
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Published 16 March 2021
Protecting and preserving personally identifiable information (PII), intellectual property, intelligence insights, and other forms of sensitive information has never been more critical. A steady cadence of data breaches and attacks are reported seemingly daily. As the use of cloud computing and virtual networks becomes increasingly pervasive for storing, processing, and moving information, concerns around data vulnerability, access, and privacy are similarly on the rise. Four research teams take on development of novel hardware accelerator to enable new levels of data and privacy protection.
Protecting and preserving personally identifiable information (PII), intellectual property, intelligence insights, and other forms of sensitive information has never been more critical. A steady cadence of data breaches and attacks are reported seemingly daily. As the use of cloud computing and virtual networks becomes increasingly pervasive for storing, processing, and
By
Kelsey Atherton on March 11, 2021 at 11:15 AM
Keeping data encrypted as it is processed could mitigate the harm from cyber intrusions, even by determined adversaries.
ALBUQUERQUE: This week, DARPA announced the award of several contracts that will let computers process encrypted data, instead of having to decrypt it prior to processing. That could drastically improve the security and functionality of cloud-based processing for the military, because data won’t have to switch constantly between being protected encrypted forms and vulnerable decrypted ones.
On March 8, DARPA announced the award of contracts to four research teams for the Under the Data Protection in Virtual Environments (DPRIVE) program. These teams will be led by Duality Technologies, Galois, SRI International, and Intel Federal, and will each be responsible for developing both the hardware and the software that allows for encrypted processing at speed.
When considering data privacy and protections, there is no data more important than personal data, whether that’s medical, financial, or even social. The discussions around access to our data, or even our metadata, becomes about who knows what, and if my personal data is safe. Today’s announcement between Intel, Microsoft, and DARPA, is a program designed around keeping information safe and encrypted, but still using that data to build better models or provide better statistical analysis without disclosing the actual data. It’s called Fully Homomorphic Encryption, but it is so computationally intense that the concept is almost useless in practice. This program between the three companies is a driver to provide IP and silicon to accelerate the compute, enabling a more secure environment for collaborative data analysis.
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