Results 111 to 120 of about 6,771 (199)

FakeSound: Deepfake General Audio Detection

With the advancement of audio generation, generative models can produce highly realistic audios. However, the proliferation of deepfake general audio can pose negative consequences.
Li, Baihan, Liang, Zheng, Wu, Mengyue, Xie, Zeyu, Xu, Xuenan, Yu, Kai   +5 more
core  

Deepfake noise investigation and detection

Forensic Science International: Digital Investigation, 2022
Tianyi Wang 0006, Ming Liu, Wei Cao, Kam-Pui Chow   +3 more
openaire   +1 more source

Multiclass AI-Generated Deepfake Face Detection Using Patch-Wise Deep Learning Model

Computers
In response to the rapid advancements in facial manipulation technologies, particularly facilitated by Generative Adversarial Networks (GANs) and Stable Diffusion-based methods, this paper explores the critical issue of deepfake content creation.
Muhammad Asad Arshed, Shahzad Mumtaz, Muhammad Ibrahim, Christine Dewi, Muhammad Tanveer, Saeed Ahmed   +5 more
doaj   +1 more source

A Unified Neural Framework for Real-Time Deepfake Detection Across Multimedia Modalities to Combat Misleading Content

IEEE Access
The rise of deepfake technology poses significant threats to the authenticity of content on social media. This research introduces Sach-AI, a pioneering framework for detecting various deepfakes in video, audio, and image data.
Ayan Sar, Subhangi Sati, Tanupriya Choudhury, Purvika Joshi, Roohi Sille, K. Srihari, Kritika Bansal   +6 more
doaj   +1 more source

Deepfake detection with and without content warnings. [PDF]

R Soc Open Sci, 2023
Lewis A, Vu P, Duch RM, Chowdhury A.
europepmc   +1 more source

A Robust Approach to Multimodal Deepfake Detection. [PDF]

J Imaging, 2023
Salvi D, Liu H, Mandelli S, Bestagini P, Zhou W, Zhang W, Tubaro S.   +6 more
europepmc   +1 more source

Scaling Laws for Deepfake Detection

CoRR
This paper presents a systematic study of scaling laws for the deepfake detection task. Specifically, we analyze the model performance against the number of real image domains, deepfake generation methods, and training images. Since no existing dataset meets the scale requirements for this research, we construct ScaleDF, the largest dataset to date in ...
Wenhao Wang, Longqi Cai, Taihong Xiao, Yuxiao Wang 0001, Ming-Hsuan Yang 0001   +4 more
openaire   +2 more sources

Deepfake Video Traceability and Authentication via Source Attribution

IET Biometrics
In recent years, deepfake videos have emerged as a significant threat to societal and cybersecurity landscapes. Artificial intelligence (AI) techniques are used to create convincing deepfakes. The main counter method is deepfake detection.
Canghai Shi, Minglei Qiao, Zhuang Li, Zahid Akhtar, Bin Wang, Meng Han, Tong Qiao   +6 more
doaj   +1 more source

PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection

Deepfake techniques generate highly realistic data, making it challenging for humans to discern between actual and artificially generated images. Recent advancements in deep learning-based deepfake detection methods, particularly with diffusion models ...
Angelov, Plamen, Li, Yi, Pellcier, Alvaro Lopez   +2 more
core  

On the Generalization of Deep Learning Models in Video Deepfake Detection. [PDF]

J Imaging, 2023
Coccomini DA, Caldelli R, Falchi F, Gennaro C.   +3 more
europepmc   +1 more source