The tremendous progress in generative AI has made the generation and manipulation of synthetic data easier and faster than before. To this end, multiple use cases are benefitting from it. The negative aspect of this progress and wide adoption of generative AI is deepfakes. Audio/image/video of an individual(s) is manipulated using generative methods without permission from the individual(s). This can make them be shown saying or doing something, which they may not have done in real. These unethically manipulated videos, popularly known as deepfakes have wide repercussions and negative effects on society in the form of the deepfakes’ potential in spreading disinformation and misinformation. Deepfakes unfortunately are used for trolling online as well. Authentication systems such as video KYC (Know Your Customer) are also not resilient as often face recognition and verification systems are deceived when high-quality deepfakes are used. To this end, it is important for platforms and systems to be able to identify if manipulation has been performed on a media. These systems, which detect and analyse the deepfakes are referred to as deepfakes detectors.
Paper Submission Deadline: August 1, 2025
Final Decision: August 4, 2025
Camera Ready Deadline: August 10, 2025
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.