2023
Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings
NeurIPS 2023poster
Research on adversarial robustness is primarily focused on image and text data. Yet, many scenarios in which lack of robustness can result in serious risks, such as fraud detection, medical diagnosis, or recommender systems often do not rely on images or text but instead on tabular data. Adversarial…