4 papers · 1 filter
Stateful Testing for Deep Learning Compilers
Jiatao Ge, Ruixiang Qian, Yibo Hu +5
Modern deep learning compilers compile models lazily and cache artifacts across invocations. Retained compiler state can make a later invocation incorrect even when it is correct i…
Investigating Metamorphic Fuzz Oracle Enhancement via Large Language Models
Ruixiang Qian, Ding Yang, Zengxu Chen +4
Fuzz drivers are essential components of greybox fuzzing, as they encapsulate target interfaces, define test spaces, and largely determine fuzzing effectiveness. Existing fuzz driv…
Log-based, Business-aware REST API Testing
Ding Yang, Ruixiang Qian, Zhao Wei +2
REST APIs enable collaboration among microservices. A single fault in a REST API can bring down the entire microservice system and cause significant financial losses, underscoring…
Peeling Off the Cocoon: Unveiling Suppressed Golden Seeds for Mutational Greybox Fuzzing
Ruixiang Qian, Chunrong Fang, Zengxu Chen +2
PoCo is a technique that aims to enhance modern coverage-based seed selection (CSS) techniques (such as afl-cmin) by gradually removing obstacle conditional statements and conducti…