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AI and machine learning: Model Theft
- Model theft refers to the unauthorized replication or stealing of machine learning models.
- Stolen models can be used to bypass security, undermine competitive advantages, or cause harm if manipulated.
- Attackers can steal models by interacting with deployed AI systems or by stealing the training data used to build the model.
- Model theft poses significant risks and can lead to misuse or exploitation of stolen models.
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