Abstract: Recent studies have revealed that Deep Neural Networks (DNNs) are highly vulnerable to adversarial examples, which are generated by introducing imperceptible perturbations to clean images, ...

pyMLIR is a full Python interface to parse, process, and output MLIR files according to the syntax described in the MLIR documentation. pyMLIR supports the basic dialects and can be extended with ...