When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time
When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time
A significant threat to the recent, wide deployment of machine learning-based systems, including deep neural networks (DNNs), is adversarial learning attacks. The main focus here is on evasion attacks against DNN-based classifiers at test time. While much work has focused on devising attacks that make small perturbations to a test …