SAiW: Source-Attributable Invisible Watermarking for Proactive Deepfake Defense

ArXi:2603.23178v1 Announce Type: new Deepfakes generated by modern generative models pose a serious threat to information integrity, digital identity, and public trust. Existing detection methods are largely reactive, attempting to identify manipulations after they occur and often failing to generalize across evolving generation techniques. This motivates the need for proactive mechanisms that secure media authenticity at the time of creation. In this work, we