With disinformation concerns increasing as the US presidential election approaches, industry and academic researchers continue to investigate ways of detecting misleading or fake content generated using deep neural networks, so-called “deepfakes.” While there have been successes — for example, focusing on artifacts such as the unnatural blinking of eyes has resulted in high accuracy rates — a key problem in the arms race between attackers and defenders remains:

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