Fuzzing for Software Security Testing and Quality Assurance

By A. Takanen, Jared D. DeMott, Charlie Miller. 2008

373 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/09cabb96783bd0fbf93c802724e894f3e87bfd93

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Valentin J. M. Manès
2. HyungSeok Han
3. Sang Kil Cha
4. Choongwoo Han
5. Manuel Egele
6. Edward J. Schwartz
7. Maverick Woo
8. Sanjay Rawat

Citations in the corpus

• The Art, Science, and Engineering of Fuzzing: A Survey (2018, methodology): “The second edition [215] contained many updates to include modern tools such as AFL [241] and ClusterFuzz [64].”
• VUzzer: Application-aware Evolutionary Fuzzing (2017, methodology): “Fuzzing is a software testing technique aimed at finding bugs in an application [35], [48].”