Cats Are Not Fish: Deep Learning Testing Calls for Out-Of-Distribution Awareness

ASE 2020, 2020.

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Abstract:

As Deep Learning (DL) is continuously adopted in many industrial applications, its quality and reliability start to raise concerns. Similar to the traditional software development process, testing the DL software to uncover its defects at an early stage is an effective way to reduce the risks after deployment. According to the fundamental...More

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