The *AI Security White Paper* discusses the security risks and challenges associated with artificial intelligence systems. AI can enhance cybersecurity but is also vulnerable to attacks like evasion, poisoning, backdoors, and model extraction. These threats exploit AI's lack of explainability and robustness, potentially leading to data breaches and manipulation. The paper proposes a three-layered defense: attack mitigation, model security, and architecture security. Ensuring AI security requires improving model transparency, implementing verification techniques, and adopting resilient system architectures. Collaboration between industry and researchers is essential for securing AI-driven technologies.

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