Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook
inforesearchPeer-Reviewed
researchsafety
Source: ACM Digital Library (TOPS, DTRAP, CSUR)September 3, 2026
Summary
This survey article examines how generative AI (machine learning models that create new content) can produce deepfakes (synthetic media where a person's face or voice is digitally manipulated to appear authentic) and discusses methods for detecting them. The paper reviews the current state of deepfake creation and detection technologies, providing an outlook on future developments in this rapidly evolving field.
Classification
Attack SophisticationModerate
Impact (CIA+S)
integritysafety
AI Component TargetedModel
Monthly digest — independent AI security research
Original source: https://dlnext.acm.org/doi/abs/10.1145/3833867?af=R
First tracked: September 3, 2026 at 08:01 AM
Classified by LLM (prompt v3) · confidence: 85%