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 …

[HTML][HTML] A review of modern audio deepfake detection methods: challenges and future directions

Z Almutairi, H Elgibreen - Algorithms, 2022 - mdpi.com
A number of AI-generated tools are used today to clone human voices, leading to a new
technology known as Audio Deepfakes (ADs). Despite being introduced to enhance human …

Add 2022: the first audio deep synthesis detection challenge

J Yi, R Fu, J Tao, S Nie, H Ma, C Wang… - ICASSP 2022-2022 …, 2022 - ieeexplore.ieee.org
Audio deepfake detection is an emerging topic, which was included in the ASVspoof 2021.
However, the recent shared tasks have not covered many real-life and challenging …

Neural analysis and synthesis: Reconstructing speech from self-supervised representations

HS Choi, J Lee, W Kim, J Lee… - Advances in Neural …, 2021 - proceedings.neurips.cc
We present a neural analysis and synthesis (NANSY) framework that can manipulate the
voice, pitch, and speed of an arbitrary speech signal. Most of the previous works have …

Deeprhythm: Exposing deepfakes with attentional visual heartbeat rhythms

H Qi, Q Guo, F Juefei-Xu, X Xie, L Ma, W Feng… - Proceedings of the 28th …, 2020 - dl.acm.org
As the GAN-based face image and video generation techniques, widely known as
DeepFakes, have become more and more matured and realistic, there comes a pressing …

[HTML][HTML] 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 …

Deepfake detection using deep learning methods: A systematic and comprehensive review

A Heidari, N Jafari Navimipour, H Dag… - … Reviews: Data Mining …, 2024 - Wiley Online Library
Deep Learning (DL) has been effectively utilized in various complicated challenges in
healthcare, industry, and academia for various purposes, including thyroid diagnosis, lung …

AVFakeNet: A unified end-to-end Dense Swin Transformer deep learning model for audio–visual​ deepfakes detection

H Ilyas, A Javed, KM Malik - Applied Soft Computing, 2023 - Elsevier
Recent advances in the field of machine learning and social media platforms facilitate the
creation and rapid dissemination of realistic fake content (ie, images, videos, audios) …

[HTML][HTML] A review of image processing techniques for deepfakes

HF Shahzad, F Rustam, ES Flores, J Luis Vidal Mazon… - Sensors, 2022 - mdpi.com
Deep learning is used to address a wide range of challenging issues including large data
analysis, image processing, object detection, and autonomous control. In the same way …

Ai-synthesized voice detection using neural vocoder artifacts

C Sun, S Jia, S Hou, S Lyu - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
Advancements in AI-synthesized human voices have created a growing threat of
impersonation and disinformation, making it crucial to develop methods to detect synthetic …