Selective Masking
Apply masking only to sensitive features (e.g., patient identifiers in healthcare datasets), reducing overhead while maintaining privacy for critical data.
Performance and Efficiency in Selective Masking
This aligns with the ecosystem's efficiency goals and Substrate's optimized execution environment.
Selective masking ensures that only the most sensitive elements of a dataset are obscured, leaving non-sensitive data untouched to minimize computational impact — crucial for real-time applications where speed is essential, such as in diagnostic AI systems processing live patient data through Substrate's high-performance runtime.
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