Fighting AI-synthesized Fake Media
Siwei Lyu · 2021
Recent years have witnessed an unexpected and astonishing rise of AI-synthesized fake media (GAN synthesized faces, face-swap videos, and style transferred audios, commonly known as the DeepFakes), thanks to the rapid advancement of technology and the omnipresence of social media. Together with other forms of online disinformation, the AI-synthesized fake media are eroding our trust in online information and have already caused real damage. It is thus important to develop countermeasures to limit the negative impacts of AI-synthesized fake media. In this presentation, I will first provide a high level overview of the AI-synthesized fake media and their potential negative social impacts. I will then highlight recent technical developments to fight AI-synthesized fake media, including the signal level methods [1], and physical/physiological based methods [2,3], as well as our effort of making large datasets [4] and open-platforms for DeepFake detection [5]. I will also point out some current challenges, and discuss the future of AI-synthesized fake media and their counter technology.