20   Artículos

 
en línea
Tomasz Walczyna and Zbigniew Piotrowski    
The proliferation of ?Deep fake? technologies, particularly those facilitating face-swapping in images or videos, poses significant challenges and opportunities in digital media manipulation. Despite considerable advancements, existing methodologies ofte... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Lanting Li, Tianliang Lu, Xingbang Ma, Mengjiao Yuan and Da Wan    
In recent years, voice deepfake technology has developed rapidly, but current detection methods have the problems of insufficient detection generalization and insufficient feature extraction for unknown attacks. This paper presents a forged speech detect... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Amal Naitali, Mohammed Ridouani, Fatima Salahdine and Naima Kaabouch    
Recent years have seen a substantial increase in interest in deepfakes, a fast-developing field at the nexus of artificial intelligence and multimedia. These artificial media creations, made possible by deep learning algorithms, allow for the manipulatio... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Eli Lopes da Silva,Nadi Helena Presser     Pág. 01 - 06
Revista: Navus: Revista de Gestão e Tecnologia    Formato: Electrónico

 
en línea
Zaynab Almutairi and Hebah Elgibreen    
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 lives as audiobooks, ADs have been used to disrupt public safety. ADs have thus rec... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Deeraj Nagothu, Ronghua Xu, Yu Chen, Erik Blasch and Alexander Aved    
With the fast development of Fifth-/Sixth-Generation (5G/6G) communications and the Internet of Video Things (IoVT), a broad range of mega-scale data applications emerge (e.g., all-weather all-time video). These network-based applications highly depend o... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Haoxuan Qiu, Yanhui Du and Tianliang Lu    
To protect images from the tampering of deepfake, adversarial examples can be made to replace the original images by distorting the output of the deepfake model and disrupting its work. Current studies lack generalizability in that they simply focus on t... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Robail Yasrab, Wanqi Jiang and Adnan Riaz    
Recent improvements in deepfake creation have made deepfake videos more realistic. Moreover, open-source software has made deepfake creation more accessible, which reduces the barrier to entry for deepfake creation. This could pose a threat to the people... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
Li Fan, Wei Li and Xiaohui Cui    
Many deepfake-image forensic detectors have been proposed and improved due to the development of synthetic techniques. However, recent studies show that most of these detectors are not immune to adversarial example attacks. Therefore, understanding the i... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Samar Samir Khalil, Sherin M. Youssef and Sherine Nagy Saleh    
Fake media is spreading like wildfire all over the internet as a result of the great advancement in deepfake creation tools and the huge interest researchers and corporations are showing to explore its limits. Now anyone can create manipulated unethical ... ver más
Revista: Future Internet    Formato: Electrónico

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