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 …

Fuzzing is an effective and widely used technique for finding security bugs and
vulnerabilities in software. It inputs irregular test data into a target program to try to trigger a …

Program synthesis has been long studied with recent approaches focused on directly using
the power of Large Language Models (LLMs) to generate code. Programming benchmarks …

Fuzz testing has enjoyed great success at discovering security critical bugs in real software.
Recently, researchers have devoted significant effort to devising new fuzzing techniques …

Among the many software testing techniques available today, fuzzing has remained highly
popular due to its conceptual simplicity, its low barrier to deployment, and its vast amount of …

Fuzzing is a popular technique for finding software bugs. However, the performance of the
state-of-the-art fuzzers leaves a lot to be desired. Fuzzers based on symbolic execution …

In recent years, fuzz testing has proven itself to be one of the most effective techniques for
finding correctness bugs and security vulnerabilities in practice. One particular fuzz testing …

The problem of cross-platform binary code similarity detection aims at detecting whether two
binary functions coming from different platforms are similar or not. It has many security …

Coverage-based Greybox Fuzzing (CGF) is a random testing approach that requires no
program analysis. A new test is generated by slightly mutating a seed input. If the test …

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 …