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 …

Security attacks abuse software vulnerabilities of IoT devices; hence, detecting and
eliminating these vulnerabilities immediately are crucial. Fuzzing is an efficient method to …

Internet of things (IoT) devices make up 30% of all network-connected endpoints,
introducing vulnerabilities and novel attacks that make many companies as primary targets …

High scalability and low running costs have made fuzz testing the de facto standard for
discovering software bugs. Fuzzing techniques are constantly being improved in a race to …

Unlike traditional software, smart contracts have the unique organization in which a
sequence of transactions shares persistent states. Unfortunately, such a characteristic …

Large Language Models (LLMs) such as OpenAI Codex are increasingly being used as AI-
based coding assistants. Understanding the impact of these tools on developers' code is …

Coverage-guided fuzz testing (" fuzzing") has become mainstream and we have observed
lots of progress in this research area recently. However, it is still challenging to efficiently test …

In this paper, we take the fundamental perspective of fuzzing as a learning process.
Suppose before fuzzing, we know nothing about the behaviors of a program P: What does it …

Security of smart contracts has attracted increasing attention in recent years. Many
researchers have devoted themselves to devising testing tools for vulnerability detection …

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 …