Grey-box fuzz testing has revealed thousands of vulnerabilities in real-world software owing
to its lightweight instrumentation, fast coverage feedback, and dynamic adjusting strategies …

Mutation-based fuzzing is one of the most popular approaches to discover vulnerabilities in
a program. To alleviate the inefficiency of mutation-based fuzzing incurred by high …

Fuzzing is an automated application vulnerability detection method. For genetic algorithm-
based fuzzing, it can mutate the seed files provided by users to obtain a number of inputs …

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 …

Exponential growth in embedded systems is driving the research imperative to develop
fuzzers to automate firmware testing to uncover software bugs and security vulnerabilities …

With the rapid development of autonomous driving systems (ADSs), testing ADSs under
various environmental conditions has become a key method to ensure the successful …

Given the massive difficulty in emulating IoT firmware, blackbox fuzzing of IoT devices for
vulnerability discovery has become an attractive option. However, existing blackbox IoT …

Side channels pose a significant threat to the confidentiality of software systems. Such
vulnerabilities are challenging to detect and evaluate because they arise from non …

Existing directed grey-box fuzzers are effective compared with coverage-based fuzzers.
However, they fail to achieve a balance between effectiveness and efficiency, and it is …

Guided fuzzing has, in recent years, been able to uncover many new vulnerabilities in real-
world software due to its fast input mutation strategies guided by path-coverage. However …