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A team of computer science researchers have identified two kinds of dataset poisoning attacks that could be used by malicious actors to corrupt AI system results. These attacks could potentially be used to manipulate AI systems, such as one trained to recognize patterns on a mammogram as cancerous. The team has written a paper outlining the kinds of attacks they have identified and posted it on the arXiv preprint server.