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Path Analysis for Effective Fault Localization in Deep Neural Networks
Deep learning has revolutionized various real-world applications, but the quality of Deep Neural Networks (DNNs) remains a concern.
Format-aware Learn&Fuzz: Deep Test Data Generation for Efficient Fuzzing
Our approach generates new test data while distinguishes between data and meta-data that makes it possible to target both the parsing and rendering parts of software under test (SUT).
Software Engineering
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