Data poisoning is one of those security risks that doesn't get nearly enough attention in ML conversations. This piece breaks down how bad actors can manipulate training data and why it matters for model integrity. Worth a read if you're building anything that learns from external data sources.
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Data Poisoning in Machine Learning: Why and How People Manipulate Training Data
Do you know where your data has been? The post Data Poisoning in Machine Learning: Why and How People Manipulate Training Data appeared first on Towards Data Science.
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