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Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

Serge Vaudenay

The maximal achievable advantage of a (computationally unbounded) distinguisher to determine whether a source

Z

is distributed according to distribution

P_0

P_1

, when given access to one sample of

Z

, is characterized by the statistical distance ...

Springer, Cham2020

Scenario Reduction Revisited: Fundamental Limits and Guarantees

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Temperature-Dependent Electronic Ground-State Charge Transfer in van der Waals Heterostructures

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Double-Loop Unadjusted Langevin Algorithm

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

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Investigating Crosstalk Among PTMs Provides Novel Insight Into the Structural Basis Underlying the Differential Effects of Nt17 PTMs on Mutant Httex1 Aggregation

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Multimodal water age distributions and the challenge of complex hydrological landscapes

Temperature-Dependent Electronic Ground-State Charge Transfer in van der Waals Heterostructures