Deepfakes generation and detection: State-of-the-art, open challenges, countermeasures, and way forward

M Masood, M Nawaz, KM Malik, A Javed, A Irtaza… - Applied …, 2023 - Springer
Easy access to audio-visual content on social media, combined with the availability of
modern tools such as Tensorflow or Keras, and open-source trained models, along with …

Deepfake generation and detection: Case study and challenges

Y Patel, S Tanwar, R Gupta, P Bhattacharya… - IEEE …, 2023 - ieeexplore.ieee.org
In smart communities, social media allowed users easy access to multimedia content. With
recent advancements in computer vision and natural language processing, machine …

Genimage: A million-scale benchmark for detecting ai-generated image

M Zhu, H Chen, Q Yan, X Huang… - Advances in …, 2023 - proceedings.neurips.cc
The extraordinary ability of generative models to generate photographic images has
intensified concerns about the spread of disinformation, thereby leading to the demand for …

Countering malicious deepfakes: Survey, battleground, and horizon

F Juefei-Xu, R Wang, Y Huang, Q Guo, L Ma… - International journal of …, 2022 - Springer
The creation or manipulation of facial appearance through deep generative approaches,
known as DeepFake, have achieved significant progress and promoted a wide range of …