Cornell Develops Light-Based Watermark to Detect Deepfakes
Cornell researchers have developed a novel invisible watermarking technique called noise-coded illumination that embeds unique light patterns into scenes during recording, enabling verification of video authenticity and detection of deepfakes by analyzing inconsistencies in the lighting codes, which are imperceptible to the naked eye and effective across various environments and skin tones.