#watermarking

Discover MarkLLM, a versatile open-source toolkit for watermarking large language models (LLMs), designed to verify text authenticity and origin. This toolkit features a range of algorithms, customization options, visualization capabilities, and thorough evaluation mechanisms, making it a valuable resource for researchers in AI and language model development.

AudioSeal offers advanced watermarking techniques for speech, providing secure and imperceptible audio watermarks with minimal quality loss. It integrates a generator and detector for efficient recognition even after audio alterations. Tailored for real-time and large-scale applications, AudioSeal significantly outpaces competitors in detection speed. Updated with available training code, an MIT license for commercial applications, and improved resampled audio processing, it is an excellent tool for audio verification and anti-voice-cloning.