Green Fuzzer Benchmarking

Author:

Ounjai Jiradet1,Wüstholz Valentin2,Christakis Maria3

Affiliation:

1. MPI-SWS, Germany

2. ConsenSys, Austria

3. TU Wien, Austria

Publisher

ACM

Reference29 articles.

1. [n. d.]. Empirical Evaluation Guidelines (ACM SIGPLAN). http://www.sigplan.org/Resources/EmpiricalEvaluation [n. d.]. Empirical Evaluation Guidelines (ACM SIGPLAN). http://www.sigplan.org/Resources/EmpiricalEvaluation

2. [n. d.]. FuzzBench: Fuzzer Benchmarking as a Service. https://google.github.io/fuzzbench [n. d.]. FuzzBench: Fuzzer Benchmarking as a Service. https://google.github.io/fuzzbench

3. [n. d.]. Honggfuzz: A Security-Oriented Feedback-Driven Evolutionary Easy-to-Use Fuzzer. https://github.com/google/honggfuzz [n. d.]. Honggfuzz: A Security-Oriented Feedback-Driven Evolutionary Easy-to-Use Fuzzer. https://github.com/google/honggfuzz

4. [n. d.]. LibFuzzer—A Library for Coverage-Guided Fuzz Testing. https://llvm.org/docs/LibFuzzer.html [n. d.]. LibFuzzer—A Library for Coverage-Guided Fuzz Testing. https://llvm.org/docs/LibFuzzer.html

5. [n. d.]. OSS-Fuzz: Continuous Fuzzing for Open Source Software. https://google.github.io/oss-fuzz [n. d.]. OSS-Fuzz: Continuous Fuzzing for Open Source Software. https://google.github.io/oss-fuzz

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