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GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification., , and . ICLR, OpenReview.net, (2020)Explainability Methods for Graph Convolutional Neural Networks., , , , and . CVPR, page 10772-10781. Computer Vision Foundation / IEEE, (2019)Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs., , , and . CVPR, page 298-307. Computer Vision Foundation / IEEE, (2020)One Category One Prompt: Dataset Distillation using Diffusion Models., , , and . CoRR, (2024)Wasserstein Embedding for Graph Learning., , , and . ICLR, OpenReview.net, (2021)Linear optimal partial transport embedding., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 1492-1520. PMLR, (2023)On Sampling Random Features From Empirical Leverage Scores: Implementation and Theoretical Guarantees., and . CoRR, (2019)Divide-and-Conquer Adversarial Detection., , and . CoRR, (2019)Generalized Sliced Probability Metrics., , , and . ICASSP, page 4513-4517. IEEE, (2022)A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems., , , , , , , , , and 37 other author(s). CoRR, (2023)