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Abstract
In this talk, we introduce Universal Neural-Cracking-Machines (UNCMs)—a new paradigm to model password guessing attacks. UNCMs are end-to-end differentiable machines built upon a heterogeneous set of deep learning techniques. Those are capable of harnessing auxiliary information on users to predict their password distribution. UNCMs define the new state-of-the-art in guessing attacks and password strength metering.
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