The problem ZK ML Proof solves

The solution is similar to the detection of AI-generated data, e.g., images or text. ZK approach allows us to publicly verify whether the provided data was generated by a specific neural network. Moreover, service providers (e.g., OpenAI) can provide ZK proofs along with generated outputs so everybody can make sure it's original.

The possible use cases;

• Detect if an image was generated using a generative model (Dalle-2, Midjourney, etc.).
• Check if the text was altered by "anti-plagitarism" neural network.
• Check if service provider (e.g., OpenAI) provides the output from the neural network you have selected.

Challenges we ran into

The problem area is complex, it requires deep understanding of cryptography and ZK proofs. Since our team aims on ML-related things, we lacked time to implement the proposed concept.