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How ZK inspired AI Watermarking with Miranda Christ
Published 5 months, 1 week ago
Description
In this episode, Anna Rose and Tarun Chitra chat with Miranda Christ, a computer science PhD student at Columbia University, about the intersection of cryptography and AI through watermarking techniques. Miranda shares her research on developing imperceptible ways to prove that content was created by AI models, covering everything from simple red-green word lists to sophisticated pseudorandom error-correcting codes.
The discussion explores the cryptographic properties of watermarks - including completeness, soundness, and undetectability - and how these parallel the properties we see in zero-knowledge proof systems. Miranda explains how watermarking differs from other cryptographic approaches like ZKML by only modifying the sampling process rather than the underlying model weights, making it computationally lightweight and practical for deployment.
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- How ChatGPT could embed a ‘watermark’ in the text it generates - New York Times
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- A Watermark for Large Language Models
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- Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models
- Pseudorandom Error-Correcting Codes
- Ideal Pseudorandom Codes
Check out the latest jobs in ZK at the ZK Podcast Jobs Board
**If you like what we do:** * Fi