Fuzz testing (fuzzing) has witnessed its prosperity in detecting security flaws recently. It
generates a large number of test cases and monitors the executions for defects. Fuzzing has …

Massive software applications possess complex data structures or parse complex data
structures; in such cases, vulnerabilities in the software become inevitable. The …

Fuzzing has proven to be a highly effective approach to uncover software bugs over the past
decade. After AFL popularized the groundbreaking concept of lightweight coverage …

Coverage-guided fuzz testing (" fuzzing") has become mainstream and we have observed
lots of progress in this research area recently. However, it is still challenging to efficiently test …

Coverage metrics play an essential role in greybox fuzzing. Recent work has shown that fine-
grained coverage metrics could allow a fuzzer to detect bugs that cannot be covered by …

Modern operating system kernels are too complex to be free of bugs. Fuzzing is a promising
approach for vulnerability detection and has been applied to kernel testing. However …

Coverage-guided fuzzing has achieved great success in finding software vulnerabilities.
Existing coverage-guided fuzzers generally favor test cases that hit new code, and discard …

Database management systems (DBMSs) are critical components of modern data-intensive
applications. Developers have adopted many testing techniques to detect DBMS bugs such …

Fuzzing is popular for bug detection and vulnerability discovery nowadays. To adopt fuzzing
for concurrency problems like data races, several recent concurrency fuzzing approaches …

Nowadays, dynamic testing tools have significantly expedited the discovery of bugs in the
Linux kernel. When unveiling kernel bugs, they automatically generate reports, specifying …