The National Institute of Standards and Technology’s latest guidance, on how to secure artificial intelligence (AI) applications against manipulation and attacks achieved with adversarial machine learning (ML), represents a major step toward establishing a standard framework for understanding and mitigating the growing threats to AI applications, but it’s still insufficient. Fortunately, there are six steps your organization can take right now to address adversarial ML vulnerabilities.
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