SEI-CMU Deepfakes Work
Abstract
A deep neural network (DNN) is a neural network with many layers used to convert inputs to targets. A deepfake is a media file of a human subject that has been manipulated using a DNN. Deepfakes are more complex than other digital forgeries. It is difficult, but not impossible to make high-quality deepfakes with enough time, effort, skill, and resources. Given the potential scale and complexity of deepfakes, automatic detection methods are needed. It is difficult, but not impossible to detect deepfakes automatically However, detection methods must continue to evolve to maintain upper-hand.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 16, 2023
- Accession Number
- AD1204246
Entities
People
- Catherine Bernaciak
- Dominic Ross
- Matthew E. Walsh
Organizations
- Carnegie Mellon University