A Google whistleblower explained that much of the demonetization/censorship action occurring on YouTube is done through Google’s speech-to-text. If so, it seems that altering a video’s audio to become an adversarial example, prior to it being uploaded, could serve to slow what’s happening.

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Is it possible to reliably generate adversarial examples for an ai which you do not have direct access to (Google’s Cloud Speech-To-Text is behind a pay wall)? I’ve heard Lex Fridman mention that adversarial examples are often effective against multiple networks, even when their structures differ.