Previous columns in this series introduced the problem of data protection in machine learning (ML), emphasizing the real challenge that operational query data pose. That is, when you use an ML system, ...
Researchers devised a way to maintain an AI model's accuracy while ensuring attackers can't extract sensitive information used to train it. The approach is computationally efficient, reducing a ...
Arabian Post on MSN
Encrypted training offers new path to safer language models
A research team from the University of Tokyo has outlined a new approach to training large language models that aims to curb sensitive data leakage while preserving performance, addressing one of the ...
As AI continues to transform industries, the conversation around AI regulation has intensified. However, one crucial aspect often overlooked in these discussions is the foundational role of data ...
Subject: Mandatory Sensitive But Unclassified Information (SBU) Training. NASA Security Program Procedural Requirements, NPR 1600.1 Chapter 5, 5.24, requires the protection of Sensitive But ...
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