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            While the advent of Graph Neural Networks (GNNs) has greatly improved node and graph representation learning in many applications, the neighborhood aggregation scheme exposes additional vulnerabilities to adversaries seeking to extract node-level information about sensitive attributes. In this paper, we study the problem of protecting sensitive attributes by information obfuscation when learning with graph structured data. We propose a framework to locally filter out pre-determined sensitive attributes via adversarial training with the total variation and the Wasserstein distance. Our method creates a strong defense against inference attacks, while only suffering small loss in task performance. Theoretically, we analyze the effectiveness of our framework against a worst-case adversary, and characterize an inherent trade-off between maximizing predictive accuracy and minimizing information leakage. Experiments across multiple datasets from recommender systems, knowledge graphs and quantum chemistry demonstrate that the proposed approach provides a robust defense across various graph structures and tasks, while producing competitive GNN encoders for downstream tasks.more » « less
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            We present the first measurement of cosmic-ray fluxes of and isotopes in the rigidity range from 1.9 to 25 GV. The measurements are based on and nuclei collected by the Alpha Magnetic Spectrometer on the International Space Station from May 2011 to October 2023. We observe that over the entire rigidity range the and fluxes exhibit nearly identical time variations and, above , the time variations of , , He, Be, B, C, N, and O fluxes are identical. Above , we find an identical rigidity dependence of the and fluxes. This shows that they are both produced by collisions of heavier cosmic-ray nuclei with the interstellar medium and, in particular, excludes the existence of a sizable primary component in the flux. Published by the American Physical Society2025more » « lessFree, publicly-accessible full text available May 1, 2026
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            We report the properties of precision time structures of cosmic nuclei He, Li, Be, B, C, N, and O fluxes over an 11-year solar cycle from May 2011 to November 2022 in the rigidity range from 1.92 to 60.3 GV. The nuclei fluxes show similar but not identical time variations with amplitudes decreasing with increasing rigidity. In particular, below 3.64 GV the Li, Be, and B fluxes, and below 2.15 GV the C, N, and O fluxes, are significantly less affected by solar modulation than the He flux. We observe that these differences in solar modulation are linearly correlated with the differences in the spectral indices of the cosmic nuclei fluxes. This shows, in a model-independent way, that solar modulation of galactic cosmic nuclei depends on their spectral shape. In addition, solar modulation differences due to nuclei velocity dependence on the mass-to-charge ratio ( ) are not observed. Published by the American Physical Society2025more » « lessFree, publicly-accessible full text available February 1, 2026
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            Precision measurements by the Alpha Magnetic Spectrometer (AMS) on the International Space Station of the deuteron ( ) flux are presented. The measurements are based on nuclei in the rigidity range from 1.9 to 21 GV collected from May 2011 to April 2021. We observe that over the entire rigidity range the flux exhibits nearly identical time variations with the , , and fluxes. Above 4.5 GV, the flux ratio is time independent and its rigidity dependence is well described by a single power law with . This is in contrast with the flux ratio for which we find . Above we find a nearly identical rigidity dependence of the and fluxes with a flux ratio of . These unexpected observations indicate that cosmic deuterons have a sizable primarylike component. With a method independent of cosmic ray propagation, we obtain the primary component of the flux equal to of the flux and the secondary component of the flux equal to of the flux. Published by the American Physical Society2024more » « less
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