deepfake technology research paper

Deepfake technology itself is neutral, and can be applied for good purposes in many fields including education, entertainment, online social media, healthcare, ... and highlight areas requiring further research. The paper discusses prevention and mitigation as countermeasures for deepfake generation. Data provenance tracking through distributed ...

Deepfakes are the product. of artificial intelligence (AI) applications that merge, combine, replace, and superimpose images and video. clips to create fake videos that appear authentic (Maras ...

Though the technology has been mostly used in legitimate applications such as for entertainment and education, etc., malicious users have also exploited them for unlawful or nefarious purposes. ... To provide an updated overview of the research works in Deepfake detection, we conduct a systematic literature review (SLR) in this paper ...

This paper aims to assist an individual in understanding the deepfake technology (along with its application), current state-of-the-art methods and gives an idea about the future pathway of this technology. ... Based on papers within this survey, the research community has remarked on the future challenges and work as follows: Existing methods ...

the number of deepfake papers has increased signifi-cantly in recent years (Fig. 1). Although the obtained numbers of deepfake papers may be lower than actual numbers but the research trend of this topic is obviously increasing. There have been existing survey papers about creat-ing and detecting deepfakes, presented in [19, 20, 32].

A Systematic Review on Deepfake Technology. March 2023. DOI: 10.1007/978-981-19-7615-5_55. In book: Proceedings of Data Analytics and Management (pp.669-685) Authors: Ehtiram Raza Khan. Jamia ...

Hence, this review paper aims to i. deliver a more precise overview of the different types of deepfake as well as their available generation tools and technology, ii. present the recent progress of deepfake detection methods with the open-source deepfake dataset, and iii. outline potential opportunities, research trends of deepfake in terms of ...

with the problems raised by Deepfake. T o provide an updated overview of the research works in Deepfake. detection, we conduct a systematic literature review (SLR) in this paper, summarizing 112 ...

This paper presents a survey of algorithms used to create deepfakes and, more importantly, methods proposed to detect deepfakes in the literature to date. We present extensive discussions on challenges, research trends and directions related to deepfake technologies. By reviewing the background of deepfakes and state-of-the-art deepfake ...

The existing surveys have mainly focused on the detection of deepfake images and videos. This paper provides a comprehensive review and detailed analysis of existing tools and machine learning (ML) based approaches for deepfake generation and the methodologies used to detect such manipulations for both audio and visual deepfakes. For each ...

Catching the deepfake alarming problem, research community has focused on developing deepfake detection algorithms and numerous results have been reported. This paper has reviewed the state-of-the-art methods and a summary of typical approaches is provided in Table 2. It is noticeable that a battle between those who use advanced machine ...

In this article, we explore the creation and detection of deepfakes and provide an in-depth view as to how these architectures work. The purpose of this survey is to provide the reader with a deeper understanding of (1) how deepfakes are created and detected, (2) the current trends and advancements in this domain, (3) the shortcomings of the ...

While asking such questions is good practice in experimental research (Thorson et al., 2012), we did not employ them for two reasons. First, Rössler et al. (2018) show that most users have limited ability to discern between a deepfake and an authentic video, so manipulation checks would have been biased by a high degree of guessing. Second, we ...

Advancements in deep learning techniques and the availability of free, large databases have made it possible, even for non-technical people, to either manipulate or generate realistic facial samples for both benign and malicious purposes. DeepFakes refer to face multimedia content, which has been digitally altered or synthetically created using deep neural networks. The paper first outlines ...

Deepfakes allow for the automatic generation and creation of (fake) video content, e.g. through generative adversarial networks. Deepfake technology is a controversial technology with many wide reaching issues impacting society, e.g. election biasing. Much research has been devoted to developing detection methods to reduce the potential negative impact of deepfakes. Application of neural ...

Mittal et al. 51 employed Alex Net for deepfake detection. However, the study resulted in a very poor performance. However, the study resulted in a very poor performance.

Similarly, OpenAI, known for its cutting-edge AI research, has introduced a tool that can distinguish between AI-generated images and real ones with an impressive accuracy rate of 99%. Notable personalities such as Warren Buffett and Narendra Modi have voiced their concerns about the potential dangers of deepfake technology.

Brookings

Scholarly research is very centered on technology of deepfake but sparse in understanding how the emergence of deepfakes impacts society. In this systematic review, we explored deep-fake scholarly ...

OpenAI said its new detector could correctly identify 98.8 percent of images created by DALL-E 3, the latest version of its image generator. But the company said the tool was not designed to ...

A surge of companies now claim to offer hyper-accurate detection services, but their capabilities are largely untested. In a world desperate not to be fooled by artificial intelligence, Deep Media ...

OpenAI's latest creation is a deepfake detection tool aimed at identifying images produced by DALL-E 3, the newest iteration of its popular image generator. According to the company, this tool ...

Regulatory alarms are sounding on new risks presented by deepfake technology and the concurrent spike in AI-driven fraud.New security measures in Singapore exemplify how nations are working to keep up with the first wave of deepfake fraud attacks that leverage generative AI. But startups promising near-perfect deepfake detection tools are not always what they seem, unlike proven results from ...

Ngô Minh Hiếu, a Vietnamese former hacker and identity thief turned cyber security specialist, said real-time face-swap technology — a type of deepfake which only changes the subject's face ...

2 of 4 |. FILE - Faced with a human barricade of Jackson, Miss., police, demonstrators run from scene, May 31, 1963. Friday, May 17, 2024, marks 70 years since the U.S. Supreme Court ruled that separating children in schools by race was unconstitutional. On paper, Brown v. Board of Education still stands.

The paper first outlines the readily available face editing apps and the vulnerability (or performance degradation) of face recognition systems under various face manipulations. Next, this survey presents an overview of the techniques and works that have been carried out in recent years for deepfake and face manipulations.

The use of deepfake technology in the grieving process is a poignant example of this dilemma. While it can offer solace to some, it might complicate the emotional healing for others, raising ...

Deep Insights of Deepfake Technology : A Review. Bahar Uddin Mahmud, Afsana Sharmin. Under the aegis of computer vision and deep learning technology, a new emerging techniques has introduced that anyone can make highly realistic but fake videos, images even can manipulates the voices. This technology is widely known as Deepfake Technology.