Fuzzing has achieved tremendous success in discovering bugs and vulnerabilities in
various software systems. Systems under test (SUTs) that take in programming or formal …

Fuzzing has achieved tremendous success in discovering bugs and vulnerabilities in
various software systems. Systems under test (SUTs) that take in programming or formal …

Compiler correctness is crucial, as miscompilation falsifying the program behaviors can lead
to serious consequences. In the literature, fuzzing has been extensively studied to uncover …

Fuzzing is an effective software testing technique to find bugs. Given the size and complexity
of real-world applications, modern fuzzers tend to be either scalable, but not effective in …

Fuzzing is a practical, widely-deployed technique to find bugs in complex, real-world
programs like JavaScript engines. We observed, however, that existing fuzzing approaches …

In recent years, coverage-based greybox fuzzing has proven itself to be one of the most
effective techniques for finding security bugs in practice. Particularly, American Fuzzy Lop …

Mutation-based fuzzing is a popular and widely employed black-box testing technique for
finding security and robustness bugs in software. It owes much of its success to its simplicity; …

Deep Learning (DL) systems have received exponential growth in popularity and have
become ubiquitous in our everyday life. Such systems are built on top of popular DL …

Fuzz testing is a well-known method for efficiently identifying bugs in programs.
Unfortunately, when programs that require highly-structured inputs such as interpreters are …

Fuzzing is an important technique to detect software bugs and vulnerabilities. It works by
mutating a small set of seed inputs to generate a large number of new inputs. Fuzzers' …