How can you ensure that AI code is robust to attacks?

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AI code is not immune to attacks. Hackers can exploit vulnerabilities in the design, implementation, or deployment of AI systems to cause harm, steal data, or manipulate outcomes. To prevent or mitigate such attacks, you need to ensure that your AI code is robust, meaning that it can withstand malicious inputs, adversarial examples, or other forms of interference. In this article, you will learn some best practices and tools to help you achieve robust AI code.

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