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Machine learning has an alarming threat: undetectable backdoors


This article is part of our coverage of the latest in AI research. If an adversary gives you a machine learning model and secretly plants a malicious backdoor in it, what are the chances that you can discover it? Very little, according to a new paper by researchers at UC Berkeley, MIT, and the Institute of Advanced Study. The security of machine learning is becoming increasingly critical as ML models find their way into a growing number of applications. The new study focuses on the security threats of delegating the training and development of machine learning models to third parties and service providers. With…

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