Final Paper Submission March 10, 2025, 23:59:59 PDT (Select the Workshop on Unmasking (Truly) Deepfakes: Not only Video Deepfakes Track to submit the paper in this workshop)
Speakers
Tal Hassner: Co-founder and CTO of WEIR AI, ex Meta AI senior applied research lead, ex AWS principal scientist.
Tamar Glaser: Lead machine learning engineer and applied researcher at Harman International, USA. Ex Meta AI applied researcher, ex Alibaba Damo applied researcher.
Vitomir Štruc: is a Full Professor at the University of Ljubljana, Slovenia.
Deepfake content has seen a significant rise in popularity, and its impact can not be ignored. The impact of deepfake content is not limited to any specific purposes, and it can be used for several malicious purposes, including monetary theft, misleading voters in national elections, pornography, and harassment. The statistics show a tremendous growth in deepfake videos in just a couple of years; every form (text, video, images, and audio) of deepfake content is highly popular on social media platforms, and rising frauds due to the tremendous presence of deepfake content.
Interestingly, deepfake is not limited to any particular form of data modality; hence, we assert that treating a single form of deepfake is insufficient and provides partial security. It is interesting to note that existing workshops handling this space tackle image/video-based deepfakes heavily, and it has also seen a sharp jump in research papers tackling only image/video-based deepfakes, ignoring other modalities of deepfakes. Therefore, through this workshop, we want to bring attention to other forms of deepfakes and encourage researchers to propose solutions to counter other forms of deepfakes.