Sie beschäftigen sich bei Asvin im Projekt Data Chain Sec unter anderem mit der Absicherung von Lieferketten und dem Schutz von Machine-Learning-Modellen vor vergifteten Daten, dem „Data Poisoning“. Wie kann man sich solche vergifteten Daten in der Praxis vorstellen?
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