eDiscovery Data Points from ComplexDiscovery

From Taxonomies to Threats? Securing Machine Learning Algorithms


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According to the European Union Agency for Cybersecurity (ENISA), findings from the recently published report "Securing Machine Learning Algorithms" indicate that there is no unique strategy in applying a specific set of security controls to protect machine learning algorithms. However, the overall cybersecurity posture of organizations that use machine learning algorithms can be enhanced by carefully choosing controls designed for these algorithms. As these controls are not validated in-depth, nor standardized in how they should be implemented, further research should focus on creating benchmarks for their effectiveness.
The post From Taxonomies to Threats? Securing Machine Learning Algorithms appeared first on ComplexDiscovery.
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eDiscovery Data Points from ComplexDiscoveryBy ComplexDiscovery Blog

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