1 paper
Thomas Paniagua, Ryan Grainger, Tianfu Wu
The adversarial vulnerability of Deep Neural Networks (DNNs) has been well-known and widely concerned, often under the context of learning top-1 attacks (e.g., fooling a DNN to c…