Keeping the backdoor secure in your robust machine learning model

Software systems are all around us—from the operating systems of our computers to search engines to automation used in industrial applications. At the center of all of this is data, which is used in machine learning (ML) components that are available in a wide variety of applications, including self-driving cars and large language models (LLM). Because many systems rely on ML components, it is important to guarantee their security and reliability.

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