An attacker looking to repair a large corpus of synthetic media containing locally consistent but globally inconsistent errors will only add more errors if they use the same generator
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Argument #1899fbb1 0 0 1
If it is true that...
An attacker looking to repair a large corpus of synthetic media containing locally consistent but globally inconsistent errors will only add more errors if they use the same generator 0 0 1Then it must be true that...
An attacker will need to work hard to repair a large corpus of synthetic media containing locally consistent but globally inconsistent errors 0 0 1Mentions
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alexandershortt0•
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Related Propositions
Synthetic media creates realistic, self-consistent, fictional worlds which cannot be distinguished from real-world data 0 0 1With generative models, it will become entirely possible to close the loops on fabricated claims and their citations 0 0 1Once the loops on fabricated claims and citations are closed, the fake world will be pulled up into the generative models by later scrapes 0 0 1In trying to watermark synthetic media, we don't need to worry about preserving its truth or semantics 0 0 1Watermarking generated media with an error-ensuring code would fail to preserve the its truth or semantics 0 0 1Generated media should be watermarked with an error-ensuring code 1 0 1A good method for watermarking synthetic media using an error-ensuring code is to insert errors which are locally consistent but globally inconsistent 0 0 1A user can simply detect locally consistent but globally inconsistent errors inserted into synthetic media by randomly sampling pairs of passages to look for any contradictions 0 0 1It is easier to create or detect locally consistent but globally inconsistent errors in synthetic media than it is to fix all the errors 0 0 1An attacker will need to work hard to repair a large corpus of synthetic media containing locally consistent but globally inconsistent errors 0 0 1