Fabricated media from deep learning models, or deepfakes, have been recently applied to
facilitate social engineering efforts by constructing a trusted social persona. While existing …

Deepfakes have become a dual-use technology with applications in the domains of art,
science, and industry. However, the technology can also be leveraged maliciously in areas …

Deepfakes are synthetic content generated using advanced deep learning and AI
technologies. The advancement of technology has created opportunities for anyone to …

Abstract The rise of Online Social Networks (OSNs) continues to surge in today's modern
era. Millions of users are attracted and joined various OSNs and use them to perform various …

Deepfakes have become a growing concern in recent years, prompting researchers to
develop benchmark datasets and detection algorithms to tackle the issue. However, existing …

Social media influences what we see and hear, what we believe, and how we act—but
artificial intelligence (AI) influences social media. By changing our social environments, AIs …

In many ways, this special issue was inspired by a visit to the University of Washington in
2018. Seitz and his colleagues had just published the algorithms1 that enabled their now …

In recent years, the advent of deep learning-based techniques and the significant reduction
in the cost of computation resulted in the feasibility of creating realistic videos of human …

A 61 question survey was used to examine issues around “deepfake” technology. In total,
319 respondents answered questions around awareness, concerns, and the responsibility …

Deepfakes can spread misinformation, defamation, and propaganda by faking videos of
public speakers. We assume that future deepfakes will be visually indistinguishable from …