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University of Toronto
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An adversary can permanently cripple deep ReLU networks without ever altering model parameters or labels, weaponizing the "dying neuron" pathology through subtle batch reordering and gradient-inversion poisoning.
This 8-year all-sky dataset with star-aware masks and alt-az calibration could unlock more reliable cloud prediction for ground-based telescopes.
