Artificial intelligence (AI) is a powerful technology that helps cybersecurity teams automate
repetitive tasks, accelerate threat detection and response, and improve the accuracy of their …

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 …

Vulnerability identification is crucial to protect the software systems from attacks for cyber
security. It is especially important to localize the vulnerable functions among the source code …

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 …

Coverage-guided fuzzing is a widely used and effective solution to find software
vulnerabilities. Tracking code coverage and utilizing it to guide fuzzing are crucial to …

Mutation-based fuzzing is one of the most popular vulnerability discovery solutions. Its
performance of generating interesting test cases highly depends on the mutation scheduling …

Fuzzing is a simple yet effective approach to discover software bugs utilizing randomly
generated inputs. However, it is limited by coverage and cannot find bugs hidden in deep …

Fuzzing and symbolic execution are two complementary techniques for discovering software
vulnerabilities. Fuzzing is fast and scalable, but can be ineffective when it fails to randomly …

Coverage-based fuzzing is one of the most effective techniques to find vulnerabilities, bugs
or crashes. However, existing techniques suffer from the difficulty in exercising the paths that …