Provable Watermark Extraction

Abstract

Introducing zkDL++, a novel framework designed for provable AI. Leveraging zkDL++, we address a key challenge in generative AI watermarking—maintaining privacy while ensuring provability. By enhancing the watermarking system developed by Meta, zkDL++ solves the problem of needing to keep watermark extractors private to avoid attacks, offering a more secure solution. Beyond watermarking, zkDL++ proves the integrity of any deep neural network (DNN) with high efficiency. In this post, we outline our approach, evaluate its performance, and propose avenues for further optimization.