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 …

Deep Learning (DL) systems have received exponential growth in popularity and have
become ubiquitous in our everyday life. Such systems are built on top of popular DL …

Security vulnerabilities play a vital role in network security system. Fuzzing technology is
widely used as a vulnerability discovery technology to reduce damage in advance …

Deep Learning (DL) library bugs affect downstream DL applications, emphasizing the need
for reliable systems. Generating valid input programs for fuzzing DL libraries is challenging …

Fuzzing has achieved tremendous success in discovering bugs and vulnerabilities in
various software systems. Systems under test (SUTs) that take in programming or formal …

Deep-learning (DL) compilers such as TVM and TensorRT are increasingly being used to
optimize deep neural network (DNN) models to meet performance, resource utilization and …

JavaScript (JS) is a popular, platform-independent programming language. To ensure the
interoperability of JS programs across different platforms, the implementation of a JS engine …

Modern JavaScript engines that power websites and even full applications on the Web are
driven by the need for an increasingly fast and snappy user experience. These engines use …

Bugs in Deep Learning (DL) libraries may affect almost all downstream DL applications, and
it is crucial to ensure the quality of such systems. It is challenging to generate valid input …

JavaScript runtime systems include some specialized programming interfaces, called
binding layers. Binding layers translate data representations between JavaScript and unsafe …