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Cracking-Resistant Password Vaults using Natural Language Encoders

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Figure

Figure 2.The expected amount of offline work (rounded to nearest thousand decryption attempts for integer) and online work (rounded to nearest numberof login attempts to a website) required to break a conventional vault (PBE), Kamouflage, and Kamouflage+ for
Figure 4.For different decoy / true password source pairs, percentageclassification accuracy (α) and percentage average rank (r¯) of a realpassword in a list of q = 1,000 decoy passwords for ML adversary
Figure 5.Summary statistics for Pastebin password vault leak. Here, mis the number of passwords in a vault.
Figure 6. Performance of ML attacks against NLEs. (Left) Average rank ofthe real vault (r¯) over all vault sizes (m ∈ [2, 50]) for MPW and SG usingdifferent feature types
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