I am working on improving the reliability of machine learning models, with a focus on detecting and mitigating various reliability issues, such as silent data corruptions (SDC), soft errors, adversarial attacks, and out-of-distribution (OOD) instances. I am using a variety of models, including ResNet, AlexNet, DenseNet, and VGG.
My work also includes implementing and analyzing of various techniques like Dr. DNA which have no official implementation.