Smart Watermark to Defend against Deepfake Image Manipulation
Luochen Lv
20212021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)21 citationsDOI
Abstract
Deepfake image manipulation has become a serious security threat to the social network. Currently, there are limited studies on protective methods that are against Deepfake image manipulation. To tackle this problem, we here propose an adversary attack based smart watermark model, which adds unperceptive watermarks to images so that the images become adversary examples to Deepfake models. When the Deepfake manipulates these watermarked images, the manipulated images become blur. The manipulation thus can be easily recognized by human and machines. Our experiments have shown that our model outperforms the SOTA and can be used to effectively prevent Deepfake manipulation.
Topics & Concepts
Computer scienceWatermarkAdversaryDigital watermarkingImage (mathematics)Computer securityArtificial intelligenceComputer visionAdvanced Steganography and Watermarking TechniquesDigital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis