17 papers · ranked by Valyu relevance
Reshma Sunil, Parita Mer, Anjali Diwan, Rajesh Mahadeva + 1 more
'Anuj Sharma'] The fast progress of deepfake technology has caused a huge overlap between reality and deceit, leading to substantial worries over the authenticity of digital media content. Deepfakes, which involve the manipulation of image, audio and video to produce highly convincing yet completely fabricated content…
Oliver Giudice, Luca Guarnera, Sebastiano Battiato, Irene Amerini + 2 more
'Gianmarco Baldini' 'Francesco Leotta'] To properly contrast the Deepfake phenomenon the need to design new Deepfake detection algorithms arises; the misuse of this formidable A.I. technology brings serious consequences in the private life of every involved person. State-of-the-art proliferates with solutions using…
Samuel Henrique Silva, Mazal Bethany, Alexis Megan Votto, Ian Henry Scarff + 2 more
'Ian Henry Scarff' 'Nicole Beebe' 'Peyman Najafirad'] Deepfakes have become exponentially more common and sophisticated in recent years, so much so that forensic specialists, policy makers, and the public alike are anxious about their role in spreading disinformation. Recently, the detection and creation of such…
Dennis Siegel, Christian Kraetzer, Stefan Seidlitz, Jana Dittmann + 3 more
'Irene Amerini' 'Gianmarco Baldini' 'Francesco Leotta'] DeepFake detection is a novel task for media forensics and is currently receiving a lot of research attention due to the threat these targeted video manipulations propose to the trust placed in video footage. The current trend in DeepFake detection is the…
Luca Guarnera, Oliver Giudice, Cristina Nastasi, Sebastiano Battiato
—One of the most terrifying phenomenon nowadays is the Deepfake: the possibility to automatically replace a person's face in images and videos by exploiting algorithms based on deep learning. This paper will present a brief overview of technologies able to produce Deepfake images of faces. A forensics analysis of those…
Luca Guarnera, Oliver Giudice, Sebastiano Battiato
The Deepfake phenomenon has become very popular nowadays thanks to the possibility to create incredibly realistic images using deep learning tools, based mainly on adhoc Generative Adversarial Networks (GAN). In this work we focus on the analysis of Deepfakes of human faces with the objective of creating a new…
Jacob Mallet, Rushit Dave, Naeem Seliya, Mounika Vanamala
—In the recent years, social media has grown to become a major source of information for many online users. This has given rise to the spread of misinformation through deepfakes. Deepfakes are videos or images that replace one person's face with another computer-generated face, often a more recognizable person in…
Trung-Nghia Le, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
Recent advances in deep learning have led to substantial improvements in deepfake generation, resulting in fake media with a more realistic appearance. Although deepfake media have potential application in a wide range of areas and are drawing much attention from both the academic and industrial communities, it also…
Aniruddha Tiwari, Rushit Dave, Mounika Vanamala
— Conspicuous progression in the field of machine learning (ML) and deep learning (DL) have led the jump of highly realistic fake media, these media oftentimes referred as deepfakes. Deepfakes are fabricated media which are generated by sophisticated AI that are at times very difficult to set apart from the real media.…
Will Rowan, Nick Pears
—Deepfakes are a form of synthetic image generation used to generate fake videos of individuals for malicious purposes. The resulting videos may be used to spread misinformation, reduce trust in media, or as a form of blackmail. These threats necessitate automated methods of deepfake video detection. This paper…
Kundan Patil, Shrushti Kale, Jaivanti Dhokey, Abhishek A. Gulhane
A deep learning-based technique called deepfake has made it easier to change or modify images and videos. In investigations and court, visual evidence is commonly employed. These pieces of evidence may now be a suspect due to technological advancements, particularly Deepfake. Photographs and movies that have been…
Didem Pehlivanoglu, Mengdi Zhu, Jialong Zhen, Aude A. Gagnon-Roberge + 4 more
Deepfakes are synthetic media created by deep-generative methods to fake a person’s audio-visual representation. Growing sophistication of deepfake technology poses significant challenges for both machine learning (ML) algorithms and humans. Here we used real and deepfake static face images (Study 1) and dynamic videos…
Kim Uittenhove, Hatef Otroshi Shahreza, Sébastien Marcel, Meike Ramon
Recent developments in generative AI offer the means to create synthetic identities, or deepfakes, at scale. As deepfake faces and voices become indistinguishable from real ones, they are considered as promising alternatives for research and development to enhance fairness and protect humans’ rights to privacy.…
Satoshi Nishida
Despite recent advantages in artificial intelligence (AI), the potential human aversion to AI has not been dispelled yet. If such aversion degrades the human preference to AI-synthesized visual information, the preference should be reduced solely by the human belief that the information is synthesized by AI…
Victor H. R. Nogueira, Rishabh Sharma, Rafael V. C. Guido, Michael J. Keiser
As efforts to improve the robustness of molecular representations advance, so does the need for methods to test and validate them. We use a Variational Auto-Encoder (VAE), an unsupervised deep learning model, to generate anomalous samples of a well-known molecular string format called SELF-referencIng Embedded Strings…
Igor Kaltashov, Kenyon Kowalski, Ryan Sullivan, Alyssa Marsico + 1 more
Forensics has long been viewed by chemical educators as a field with great potential as far as providing inspiration for modifying chemistry laboratory curriculum and enhancing students’ learning experience at different levels. While most experiments are based on adaptation of laboratory procedures routinely used in…
Guo Jiahui, Ma Feilong, Matteo Visconti di Oleggio Castello, Samuel A. Nastase + 2 more
Deep convolutional neural networks (DCNNs) trained for face identification can rival and even exceed human-level performance. The ways in which the internal face representations in DCNNs relate to human cognitive representations and brain activity are not well understood. Nearly all previous studies focused on static…