Data Poisoning Attacks: How to Protect AI Models from Hidden Threats

By |septiembre 13th, 2022|Sin categoría|

But because the AI security risks are now harder to ignore. Once a model is trained on poisoned data, the effects aren't always visible. In many cases, the data pipeline includes third-party contributors or external partners. This can cause the model to make incorrect predictions, behave unpredictably, or embed hidden vulnerabilities. IBM provides comprehensive data [...]