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Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks., , , , and . CoRR, (2023)On the Robustness and Anomaly Detection of Sparse Neural Networks., , , , , and . CoRR, (2022)Adversarial Training for Graph Neural Networks., , , , , and . CoRR, (2023)Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning., , , , and . CoRL, volume 229 of Proceedings of Machine Learning Research, page 3214-3241. PMLR, (2023)Revisiting Robustness in Graph Machine Learning., , , and . ICLR, OpenReview.net, (2023)Better, Faster Small Hazard Detection: Instance-Aware Techniques, Metrics and Benchmarking., , and . IEEE Trans. Intell. Transp. Syst., 23 (7): 9062-9077 (2022)Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks., , , , and . NeurIPS, (2022)Are Defenses for Graph Neural Networks Robust?, , , and . NeurIPS, (2022)Robustness of Graph Neural Networks at Scale., , , , , and . NeurIPS, page 7637-7649. (2021)Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions., , , , and . ICLR, OpenReview.net, (2022)