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A long way towards reliable and robust machine learning
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There has been substantial progress in the area of robust and reliable machine learning but there is still a long way to go. This talk will provide an overview of work in the area of out-of-distribution detection and adversarial robustness. It will discuss potential ways forward also with regard to regulatory processes for safety-critical applications.
