# Fighting Deepfakes with Zero-Knowledge Proofs

Source: https://medium.com/@danieldkang/zk-img-fighting-deepfakes-with-zero-knowledge-proofs-9b76c23e3789
Kiwi News: https://news.kiwistand.com/stories/Fighting-Deepfakes-with-Zero-Knowledge-Proofs?index=0x6505d1cfb5e12bf576da09eabd00c0b1cce5dc5c166904249ddb616da2e9c301517b24e7
Submitted by rafig.eth on 2023-09-16 UTC, 4 upvotes, 0 comments

## Summary

Researchers Daniel Kang, Tatsunori Hashimoto, Ion Stoica and Yi Sun present zk-img, a library that lets image edits be verified with zero-knowledge proofs while keeping the original and intermediate images private. The article says prior ZK-SNARK approaches for images required revealing original images, were limited to images smaller than 128x128, or relied on custom cryptographic arguments or trusted third parties. zk-img is built on the halo2 library and is described as the first library able to privately and securely verify arbitrary transformations on HD images. Benchmarks reported verification times as low as 4.59 ms, and at most 9.32 ms when the output image is also hidden.