TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing
因爲老闆之後可能要做深度學習框架的模糊測試，所以把之前一直沒啃的paper先啃了。。 摘要 本文開發一個對神經網絡的 coverage-guided fuzzing(CGF) 方法。然後討論應用CGF達到以下目標：找到預訓練好的神經網絡中的數值型錯誤，生成神經網絡的不一致並找到這些版本的神經網絡，發現字符級別語言模型中意想不到的行爲。最後開源了這個工具。 1. 緒論 機器學習模型由於下述原因很難d
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相關文章
- 1. [論文解讀]TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing
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