Deep Learning for Deepfakes Creation and Detection
By Thanh Thi Nguyen, Cu Nguyen, Dung Nguyen, Dinh C. Nguyen, Saeid Nahavandi. 2019
150 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Generative Models
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Khalid Mahmood Malik
- Ali Javed
- Momina Masood
- Hafiz Malik
- Vijay Janappa Reddi
- Deressa Wodajo
- M. M. Tanzim Nawaz
- Solomon Atnafu
In Generative Models
- Khalid Mahmood Malik
- Ali Javed
- Momina Masood
- Hafiz Malik
- Deressa Wodajo
- M. M. Tanzim Nawaz
- Solomon Atnafu
- Aun Irtaza
Citations in the corpus
- Deep Reinforcement Learning for Cyber Security (2019, background): “, deepfakes [174]), hackers can spread false news in elections or manipulate financial markets [175].”
- Deepfake Video Detection Using Convolutional Vision Transformer (2021, methodology): “The first Deepfake technique is the FakeAPP [42] which used two AE network.”
- Two-branch Recurrent Network for Isolating Deepfakes in Videos (2020, unknown): “For a complete survey, we refer to [38,46] and the recent work in [58,61].”
- Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward (2021, methodology): “computer-generated videos of famous actresses with their faces swapped onto pornographic content [20].”