A zkMNIST dApp, Applied ZK - Day 1

We introduce and demonstrate a dApp with a zkSNARK prover/verifier for a simple computer vision deep learning convolutional neural network for handwritten digit recognition (MNIST). This enables on-chain verification of off-chain, private data. Potential applications of this type of zk technology may include the protection of sensitive and private information such as personal financial info, personal biometric info, or private video/audio/image data. Speaker(s): Francis Ho, Horace Pan Hosted at Devconnect Amsterdam, 2022 Visit the website: https://devconnect.org/ Or follow @EFDevconnect on Twitter