The Challenges and Limitations of Zero Knowledge Proofs

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For the time being, we're using our Ethereum private keys to emulate the attested sensor. And so for example, I'm not sure how much I should reveal about your podcast,. Anna, but sometimes there are parts that are clipped out due to, you know, flubs. Even with those edits,using the system, potentially prove that the original audio files came from us. That's the amazing thing about these zero knowledge proofs.

In this bonus episode, Anna jumps back on the mic for a quick follow-up to Episode 279: Intro to zkpod.ai. Guest Daniel Kang describes a joint project he is doing with zkpod.ai - the Attested Audio Experiment. The objective is to prove that some piece of audio originates from a "real" (non-ai-generated) recording, even if this audio has been altered through edits or modifications. The goal is to differentiate between original "real" audio and the audio generated by zkpod.ai. In the future some iteration of this architecture could be used by content creators to distinguish deepfake audio from the real thing.

Here is the write up about the Attested Audio Experiment on Daniel Kang's blog.

Here is some of his other work as well:

Follow @zkpodai on twitter for more updates!