reverse-SynthID-text

SynthID Watermark Reverse Engineering Overview This directory contains tools for analyzing and removing SynthID watermarks from AI-generated text. The watermark was developed by Google DeepMind and published in Nature 2024. How SynthID Works Watermarking Process 1. N-gram Context : For each token...

claude-awm

claude-awm: can you scrub a SynthID text watermark by editing the text? Yes, but only one family of attack works, and it isn't the one everyone assumes. Unicode variation selectors category Mn, U+FE00 to U+FE0F and U+E0100 to U+E01EF drive the detector below threshold and stay there. Every other...

HeavyWater and SimplexWater: Watermarking Low-Entropy Text Distributions

Large language model LLM watermarks enable authentication of text provenance, curb misuse of machine-generated text, and promote trust in AI systems. Current watermarks operate by changing the next-token predictions output by an LLM. The updated i.e., watermarked predictions depend on random side...

LLM-Text Watermarking Based on Lagrange Interpolation

The rapid advancement of LLMs Large Language Models has established them as a foundational technology for many AI and ML-powered human computer interactions. A critical challenge in this context is the attribution of LLM-generated text -- either to the specific language model that produced it or ...