Fuzzing Automatic Differentiation in Deep-Learning Libraries
Fuzzing Automatic Differentiation in Deep-Learning Libraries
Deep learning (DL) has attracted wide attention and has been widely deployed in recent years. As a result, more and more research efforts have been dedicated to testing DL libraries and frameworks. However, existing work largely overlooked one crucial component of any DL system, automatic differentiation (AD), which is the …