SAFFRON: Adaptive grammar-based fuzzing for worst-case analysis
Fuzz testing has been gaining ground recently with substantial efforts devoted to the area. Typically, fuzzers take a set of seed inputs and leverage random mutations to continually improve the inputs with respect to a cost, e.g. program code coverage, to discover vulnerabilities or bugs. Following...
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| Main Authors: | , , , , , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2019
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| Online Access: | https://ink.library.smu.edu.sg/sis_research/4820 https://ink.library.smu.edu.sg/context/sis_research/article/5823/viewcontent/ASE19_GrammarbasedFuzzing3.pdf |
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| Institution: | Singapore Management University |
| Language: | English |