With a growing number of embedded devices that create, transform, and send data
autonomously at its core, the Internet of Things (IoT) is a reality in different sectors, such as …

Fuzzing is widely used for vulnerability detection. There are various kinds of fuzzers with
different fuzzing strategies, and most of them perform well on their targets. However, in …

Greybox fuzzing has been the most scalable and practical approach to software testing.
Most greybox fuzzing tools are coverage guided as code coverage is strongly correlated …

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 …

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

With the development of decentralized networks, smart contracts, especially those for ERC
tokens, are attracting more and more Dapp users to implement their applications. There are …

Ethereum Virtual Machine (EVM) is the run-time environment for smart contracts and its
vulnerabilities may lead to serious problems to the Ethereum ecology. With lots of …

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 a promising approach to DBMS testing. One crucial component in DBMS fuzzing
is grammar: since DBMSs enforce strict validation on inputs, a grammar improves fuzzing …

As an infrastructure for data persistence and analysis, Database Management Systems
(DBMSs) are the cornerstones of modern enterprise software. To improve their correctness …