Source Themes

Coverage Guided Differential Adversarial Testing of Deep Learning Systems

Coverage guided testing work based on DLFuzz

RNN-Test: Towards Adversarial Testing for Recurrent Neural Network Systems

First step towards testing for majority sequential domains of RNN systems, i.e. tasks with sequential outputs without class labels

Leopard: Identifying vulnerable code for vulnerability assessment through program metrics

Static analysis tool for discovering vulnerabilities through program metrics

Dlfuzz: Differential fuzzing testing of deep learning systems

Differential fuzzing framework for deep learning testing