Microsoft Incident Response investigated an attack operated through legitimate and trusted administrative mechanisms to blend ...
Abstract: Recent advances in machine learning (ML) have raised growing privacy concerns. One notable concern of ML models is the membership leakage risk, which is defined as the extent to which an ...
Cloud computing in 2026 is defined by explosive market growth, near-universal enterprise adoption, and the dominance of AI workloads in cloud environments. Global spending is projected to hit $679 ...
As of May 2026, the Microsoft data ecosystem has evolved beyond simple visualization and reporting. With the introduction of Fabric's 'Data Agents' and Copilot's 'Cowork' autonomous execution ...
Abstract: Federated learning (FL) is a secure approach to protecting client data privacy by remaining data local. However, semi-honest central servers expose clients to the risk of membership ...
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