Field Data Poisoning Defense for ML Pipelines
Machine learning systems increasingly rely on data generated by devices operating in the real world: cameras capturing environments, sensors streaming telemetry, microphones collecting audio, and applications logging user interactions. These signals make excellent training data because they reflect the actual conditions models need to perform under. The moment a training