Cornell researchers have developed a novel watermarking technique called "noise-coded illumination" to combat AI-generated misinformation like deepfakes. The system subtly flickers light sources, embedding unique verification data imperceptible to the human eye but detectable by cameras. This pseudo-random pattern acts as a digital signature, allowing investigators to identify manipulated videos. The research, published in ACM Transactions on Graphics, will be presented at SIGGRAPH on August 10. The technology, created by Peter Michael, Zekun Hao, Serge Belongie, and Abe Davis, offers a promising tool in the ongoing battle against the spread of disinformation.