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.
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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