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CARE: Certifiably Robust Learning with Reasoning via Variational Inference.

, , , и . CoRR, (2022)

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Li Li

Li Li

Li Li

Li Li

Li Li

 

Другие публикации лиц с тем же именем

Cloud API Testing., , , , и . ICST Workshops, стр. 385-386. IEEE Computer Society, (2017)SoK: Certified Robustness for Deep Neural Networks., , , и . CoRR, (2020)Influence-Directed Explanations for Deep Convolutional Networks., , , , и . ITC, стр. 1-8. IEEE, (2018)Can Pruning Improve Certified Robustness of Neural Networks?, , , , и . Trans. Mach. Learn. Res., (2023)Integrating Water Observation from Space Product and Time-Series Flow Data for Modeling Spatio-Temporal Flood Inundation Dynamics., , , , , и . Remote. Sens., 11 (21): 2535 (2019)Long-term spatiotemporal characteristics of meteorological drought in China from a three-dimensional (longitude, latitude, time) perspective., , , , , , , , , и . Int. J. Appl. Earth Obs. Geoinformation, (февраля 2024)COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks., , , , , , и . ICLR, OpenReview.net, (2022)Double Sampling Randomized Smoothing., , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 13163-13208. PMLR, (2022)SoK: Certified Robustness for Deep Neural Networks., , и . SP, стр. 1289-1310. IEEE, (2023)A Storage Method for Remote Sensing Images Based on Google S2., , , , , , и . IEEE Access, (2020)