ML Security Efforts Ongoing Since 2019 Amidst Emerging Threats

The article emphasizes the ongoing and significant challenge of securing machine learning (ML) systems, noting that this is not a new problem. It highlights that efforts to secure ML and engineering practices have been underway since 2019, with substantial work still needed in the field of ML security. AI

IMPACT Highlights the persistent need for robust security measures in the development and deployment of machine learning systems.

RANK_REASON The item is a social media post commenting on an existing article about ML security, rather than reporting on a new event.

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