... | @@ -24,7 +24,7 @@ Below shows ZAFL's performance on Google's FuzzBench compared to: |
... | @@ -24,7 +24,7 @@ Below shows ZAFL's performance on Google's FuzzBench compared to: |
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<a href="https://www.fuzzbench.com/reports/experimental/2021-10-29/index.html"><img src="https://www.fuzzbench.com/reports/experimental/2021-10-29/experiment_critical_difference_plot.svg" width="300"></img></a>
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<a href="https://www.fuzzbench.com/reports/experimental/2021-10-29/index.html"><img src="https://www.fuzzbench.com/reports/experimental/2021-10-29/experiment_critical_difference_plot.svg" width="300"></img></a>
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Overall, ZAFL peforms on-par with state-of-the-art source-level instrumentation while beating the leading QEMU-based instrumentation (even with enhancements)!
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**Overall, ZAFL peforms on-par with state-of-the-art source-level instrumentation and beats the leading QEMU-based instrumentation (even with enhancements)!**
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## Fuzzing-enhancing Binary Transformations
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## Fuzzing-enhancing Binary Transformations
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ZAFL facilitates *binary-level* reimplementations of the many transformations successful among the open-source fuzzing world. Some built-in examples:
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ZAFL facilitates *binary-level* reimplementations of the many transformations successful among the open-source fuzzing world. Some built-in examples:
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