Directed grey-box fuzzers specialize in testing specific target code. They have been applied
to many security applications such as reproducing known crashes and detecting …

Grey-box fuzzing is the lightweight approach of choice for finding bugs in sequential
programs. It provides a balance between efficiency and effectiveness by conducting a …

Software vulnerabilities bear enterprises significant costs. Despite extensive efforts in
research and development of software vulnerability detection methods, uncaught …

In top-tier companies and academia, fuzzing has established itself as a valuable tool for
finding bugs. It is a tool created by experts for experts, and a lot of research is being invested …

Fuzz testing, also known as fuzzing, is a software testing technique aimed at identifying
software vulnerabilities. In recent decades, fuzzing has gained increasing popularity in the …

Fuzzing has proven to be a highly effective approach to uncover software bugs over the past
decade. After AFL popularized the groundbreaking concept of lightweight coverage …

Heap-based temporal vulnerabilities (ie, use-after-free, double-free and null pointer
dereference) are highly sensitive to heap operation (eg, memory allocation, deallocation …

Fuzzing is a widely-used software vulnerability discovery technology, many of which are
optimized using coverage-feedback. Recently, some techniques propose to train deep …

Software vulnerabilities are a major cyber threat and it is important to detect them. One
important approach to detecting vulnerabilities is to use deep learning while treating a …

LTL solvers check the satisfiability of Linear-time Temporal Logic (LTL) formulas and are
widely used for verifying and testing critical software systems. Thus, potential bugs in the …