If you use our method for attacks in your research, please consider citing @inproceedings{wei2023enhancing, title={Enhancing the Self-Universality for Transferable Targeted Attacks}, author={Wei, ...

Abstract: It is not uncommon that real-world data are distributed with a long tail. For such data, the learning of deep neural networks becomes challenging because it is hard to classify tail classes ...

Abstract: Empirical studies suggest that machine learning models trained with empirical risk minimization (ERM) often rely on attributes that may be spuriously correlated with the class labels. Such ...