Don't Let the Data Fool You

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A SuperMinds 2014 Talk by Toni Verbeiren (iMinds - Stadius - KU Leuven) .Strong voices have argued that human perception often plays tricks on us and is thus not to be trusted. This lack of trust has resulted in an almost religious belief in numbers, data and models. Technology is there to feed our drive to generate more and more raw data. We do not yet know what to do with all this (big) data, yet we are convinced of its tremendous value. I make a case that it is high time to put the human back in the loop, using foremost visual perception as a key ingredient in data analysis, albeit in a way that will limit possible errors like finding spurious patterns.

Antropologists!
Gary Larson (The Far Side)

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Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process. In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds. - These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.

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