Existing greybox fuzzers mainly utilize program coverage as the goal to guide the fuzzing
process. To maximize their outputs, coverage-based greybox fuzzers need to evaluate the …

Robotic vehicles (RVs) are being adopted in a variety of application domains. Despite their
increasing deployment, many security issues with RVs have emerged, limiting their wider …

Universal Serial Bus (USB) is the de facto protocol supported by peripherals and mobile
devices, such as USB thumb drives and smart phones. For many devices, USB Type-C ports …

An automated driving system (ADS), as the brain of an autonomous vehicle (AV), should be
tested thoroughly ahead of deployment. ADS must satisfy a complex set of rules to ensure …

Fuzz testing is an indispensable test-generation tool in software security. Fuzz testing uses
automated directed randomness to explore a variety of execution paths in software, trying to …

Coverage-guided fuzzing is one of the most successful approaches for discovering software
bugs and security vulnerabilities. Of its three main components:(1) test case generation,(2) …

Autonomous vehicle (AV) systems must be comprehensively tested and evaluated before
they can be deployed. High-fidelity simulators such as CARLA or LGSVL allow this to be …

Simulation-based tests are more cost-effective and less dangerous than field tests; hence,
they are becoming the norm for thoroughly testing self-driving cars in virtual environments …

Many companies aim for delivering systems for autonomous driving reaching out for SAE
Level 5. As these systems run much more complex software than typical premium cars of …

The security of device drivers is critical for the entire operating system's reliability. Yet, it
remains very challenging to validate if a device driver can properly handle potentially …