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230 Results Found

  • Article
  • Open Access
2 Citations
3,360 Views
28 Pages

In an age of AI-generated content and deepfakes, fake news and disinformation are increasingly spread using manipulated or fabricated images. To address this challenge, we introduce Post-Quantum VerITAS, a cryptographic framework for verifying the au...

  • Article
  • Open Access
24 Citations
13,733 Views
36 Pages

A Survey of Detection and Mitigation for Fake Images on Social Media Platforms

  • Dilip Kumar Sharma,
  • Bhuvanesh Singh,
  • Saurabh Agarwal,
  • Lalit Garg,
  • Cheonshik Kim and
  • Ki-Hyun Jung

5 October 2023

Recently, the spread of fake images on social media platforms has become a significant concern for individuals, organizations, and governments. These images are often created using sophisticated techniques to spread misinformation, influence public o...

  • Article
  • Open Access
13 Citations
4,574 Views
12 Pages

A Detection Method of Operated Fake-Images Using Robust Hashing

  • Miki Tanaka,
  • Sayaka Shiota and
  • Hitoshi Kiya

SNS providers are known to carry out the recompression and resizing of uploaded images, but most conventional methods for detecting fake images/tampered images are not robust enough against such operations. In this paper, we propose a novel method fo...

  • Article
  • Open Access
8 Citations
9,847 Views
22 Pages

28 December 2023

In the evolving landscape of digital media, the discipline of media forensics, which encompasses the critical examination and authentication of digital images, videos, and audio recordings, has emerged as an area of paramount importance. This heighte...

  • Article
  • Open Access
259 Citations
43,090 Views
14 Pages

Deep Fake Image Detection Based on Pairwise Learning

  • Chih-Chung Hsu,
  • Yi-Xiu Zhuang and
  • Chia-Yen Lee

3 January 2020

Generative adversarial networks (GANs) can be used to generate a photo-realistic image from a low-dimension random noise. Such a synthesized (fake) image with inappropriate content can be used on social media networks, which can cause severe problems...

  • Article
  • Open Access
5 Citations
2,725 Views
14 Pages

Generated or Not Generated (GNG): The Importance of Background in the Detection of Fake Images

  • Marco Tanfoni,
  • Elia Giuseppe Ceroni,
  • Sara Marziali,
  • Niccolò Pancino,
  • Marco Maggini and
  • Monica Bianchini

10 August 2024

Facial biometrics are widely used to reliably and conveniently recognize people in photos, in videos, or from real-time webcam streams. It is therefore of fundamental importance to detect synthetic faces in images in order to reduce the vulnerability...

  • Article
  • Open Access
1 Citations
2,451 Views
22 Pages

29 June 2025

With the rapid advancement of deepfake technology, the detection of low-quality synthetic facial images has become increasingly challenging, particularly in cases involving low resolution, blurriness, or noise. Traditional detection methods often exh...

  • Article
  • Open Access
5 Citations
8,669 Views
27 Pages

The spread of fake news on social media is complicated by the fact that fake information spreads extremely fast in both textual and visual formats. Traditional approaches to the detection of fake news focus mainly on text and image features, thereby...

  • Article
  • Open Access
12 Citations
4,498 Views
16 Pages

13 January 2022

Up to now, most of the forensics methods have attached more attention to natural content images. To expand the application of image forensics technology, forgery detection for certificate images that can directly represent people’s rights and i...

  • Proceeding Paper
  • Open Access
3 Citations
1,481 Views
9 Pages

18 January 2024

Generating captions automatically for images has been a challenging task, requiring the integration of image processing and natural language processing techniques. In this study, we propose a system that focuses on generating captions for online soci...

  • Article
  • Open Access
7 Citations
15,720 Views
18 Pages

Today, social media are an integral part of everyone’s life. In addition to their traditional uses of creating and maintaining relationships, they are also used to exchange views and all kinds of content. With the development of these media, th...

  • Article
  • Open Access
3 Citations
1,516 Views
18 Pages

22 November 2023

Digital images are widely used for informal information sharing, but the rise of fake photos spreading misinformation has raised concerns. To address this challenge, image forensics is employed to verify the authenticity and trustworthiness of these...

  • Article
  • Open Access
2,505 Views
15 Pages

RADAR: Reasoning AI-Generated Image Detection for Semantic Fakes

  • Haochen Wang,
  • Xuhui Liu,
  • Ziqian Lu,
  • Cilin Yan,
  • Xiaolong Jiang,
  • Runqi Wang and
  • Efstratios Gavves

As modern generative models advance rapidly, AI-generated images exhibit higher resolution and lifelike details. However, the generated images may not adhere to world knowledge and common sense, as there is no such awareness and supervision in the ge...

  • Article
  • Open Access
3 Citations
3,565 Views
16 Pages

21 November 2024

Generative AI and multimodal foundation models have fueled a proliferation of fake content on the Internet. This paper investigates if foundation models help detect and thereby contain the spread of fake images. The task of detecting fake images is a...

  • Review
  • Open Access
91 Citations
15,248 Views
39 Pages

Seeing is not believing anymore. Different techniques have brought to our fingertips the ability to modify an image. As the difficulty of using such techniques decreases, lowering the necessity of specialized knowledge has been the focus for companie...

  • Article
  • Open Access
2 Citations
3,692 Views
11 Pages

A Universal Detection Method for Adversarial Examples and Fake Images

  • Jiewei Lai,
  • Yantong Huo,
  • Ruitao Hou and
  • Xianmin Wang

30 April 2022

Deep-learning technologies have shown impressive performance on many tasks in recent years. However, there are multiple serious security risks when using deep-learning technologies. For examples, state-of-the-art deep-learning technologies are vulner...

  • Article
  • Open Access
78 Citations
11,098 Views
16 Pages

Copy-Move Forgery Detection (CMFD) Using Deep Learning for Image and Video Forensics

  • Yohanna Rodriguez-Ortega,
  • Dora M. Ballesteros and
  • Diego Renza

With the exponential growth of high-quality fake images in social networks and media, it is necessary to develop recognition algorithms for this type of content. One of the most common types of image and video editing consists of duplicating areas of...

  • Article
  • Open Access
8 Citations
7,081 Views
22 Pages

A Deep Learning Model for Detecting Fake Medical Images to Mitigate Financial Insurance Fraud

  • Muhammad Asad Arshed,
  • Shahzad Mumtaz,
  • Ștefan Cristian Gherghina,
  • Neelam Urooj,
  • Saeed Ahmed and
  • Christine Dewi

Artificial Intelligence and Deepfake Technologies have brought a new dimension to the generation of fake data, making it easier and faster than ever before—this fake data could include text, images, sounds, videos, etc. This has brought new cha...

  • Article
  • Open Access
5 Citations
2,233 Views
32 Pages

With recent advancements in deep learning, spoofing techniques have developed and generative adversarial networks (GANs) have become an emerging threat to finger-vein recognition systems. Therefore, previous research has been performed to generate fi...

  • Article
  • Open Access
5 Citations
2,894 Views
34 Pages

LRFID-Net: A Local-Region-Based Fake-Iris Detection Network for Fake Iris Images Synthesized by a Generative Adversarial Network

  • Jung Soo Kim,
  • Young Won Lee,
  • Jin Seong Hong,
  • Seung Gu Kim,
  • Ganbayar Batchuluun and
  • Kang Ryoung Park

3 October 2023

Iris recognition is a biometric method using the pattern of the iris seated between the pupil and the sclera for recognizing people. It is widely applied in various fields owing to its high accuracy in recognition and high security. A spoof detection...

  • Article
  • Open Access
28 Citations
4,936 Views
11 Pages

Auguring Fake Face Images Using Dual Input Convolution Neural Network

  • Mohan Bhandari,
  • Arjun Neupane,
  • Saurav Mallik,
  • Loveleen Gaur and
  • Hong Qin

21 December 2022

Deepfake technology uses auto-encoders and generative adversarial networks to replace or artificially construct fine-tuned faces, emotions, and sounds. Although there have been significant advancements in the identification of particular fake images,...

  • Article
  • Open Access
13 Citations
3,777 Views
15 Pages

Leverage Boosting and Transformer on Text-Image Matching for Cheap Fakes Detection

  • Tuan-Vinh La,
  • Minh-Son Dao,
  • Duy-Dong Le,
  • Kim-Phung Thai,
  • Quoc-Hung Nguyen and
  • Thuy-Kieu Phan-Thi

10 November 2022

The explosive growth of the social media community has increased many kinds of misinformation and is attracting tremendous attention from the research community. One of the most prevalent ways of misleading news is cheapfakes. Cheapfakes utilize non-...

  • Article
  • Open Access
31 Citations
23,854 Views
18 Pages

AI vs. AI: Can AI Detect AI-Generated Images?

  • Samah S. Baraheem and
  • Tam V. Nguyen

28 September 2023

The proliferation of Artificial Intelligence (AI) models such as Generative Adversarial Networks (GANs) has shown impressive success in image synthesis. Artificial GAN-based synthesized images have been widely spread over the Internet with the advanc...

  • Article
  • Open Access
37 Citations
11,171 Views
25 Pages

An Enhanced Deep Learning-Based DeepFake Video Detection and Classification System

  • Joseph Bamidele Awotunde,
  • Rasheed Gbenga Jimoh,
  • Agbotiname Lucky Imoize,
  • Akeem Tayo Abdulrazaq,
  • Chun-Ta Li and
  • Cheng-Chi Lee

The privacy of individuals and entire countries is currently threatened by the widespread use of face-swapping DeepFake models, which result in a sizable number of fake videos that seem extraordinarily genuine. Because DeepFake production tools have...

  • Review
  • Open Access
21 Citations
45,782 Views
17 Pages

Quick Overview of Face Swap Deep Fakes

  • Tomasz Walczyna and
  • Zbigniew Piotrowski

31 May 2023

Deep Fake technology has developed rapidly in its generation and detection in recent years. Researchers in both fields are outpacing each other in their axes achievements. The works use, among other methods, autoencoders, generative adversarial netwo...

  • Article
  • Open Access
3 Citations
2,313 Views
12 Pages

Detecting image manipulation is essential for investigating the processing history of digital images. In this paper, a novel scheme is proposed to detect the use of low-pass filters in image processing. A new convolutional neural network with a reaso...

  • Feature Paper
  • Article
  • Open Access
4 Citations
2,622 Views
17 Pages

21 April 2021

Median filtering is being used extensively for image enhancement and anti-forensics. It is also being used to disguise the traces of image processing operations such as JPEG compression and image resampling when utilized in image de-noising and smoot...

  • Article
  • Open Access
54 Citations
10,703 Views
19 Pages

Deep Learning Based Computer Generated Face Identification Using Convolutional Neural Network

  • L. Minh Dang,
  • Syed Ibrahim Hassan,
  • Suhyeon Im,
  • Jaecheol Lee,
  • Sujin Lee and
  • Hyeonjoon Moon

13 December 2018

Generative adversarial networks (GANs) describe an emerging generative model which has made impressive progress in the last few years in generating photorealistic facial images. As the result, it has become more and more difficult to differentiate be...

  • Communication
  • Open Access
35 Citations
9,801 Views
14 Pages

Automatic Counterfeit Currency Detection Using a Novel Snapshot Hyperspectral Imaging Algorithm

  • Arvind Mukundan,
  • Yu-Ming Tsao,
  • Wen-Min Cheng,
  • Fen-Chi Lin and
  • Hsiang-Chen Wang

10 February 2023

In this study, a snapshot-based hyperspectral imaging (HSI) algorithm that converts RGB images to HSI images is designed using the Raspberry Pi environment. A Windows-based Python application is also developed to control the Raspberry Pi camera and p...

  • Article
  • Open Access
4 Citations
2,426 Views
15 Pages

Synthetic Iris Images: A Comparative Analysis between Cartesian and Polar Representation

  • Adrian Kordas,
  • Ewelina Bartuzi-Trokielewicz,
  • Michał Ołowski and
  • Mateusz Trokielewicz

2 April 2024

In recent years, the advancement of generative techniques, particularly generative adversarial networks (GANs), has opened new possibilities for generating synthetic biometric data from different modalities, including—among others—images...

  • Article
  • Open Access
7 Citations
4,867 Views
18 Pages

Hierarchical Progressive Image Forgery Detection and Localization Method Based on UNet

  • Yang Liu,
  • Xiaofei Li,
  • Jun Zhang,
  • Shuohao Li,
  • Shengze Hu and
  • Jun Lei

The rapid development of generative technologies has made the production of forged products easier, and AI-generated forged images are increasingly difficult to accurately detect, posing serious privacy risks and cognitive obstacles to individuals an...

  • Review
  • Open Access
138 Citations
98,590 Views
22 Pages

Understanding Fake News Consumption: A Review

  • João Pedro Baptista and
  • Anabela Gradim

16 October 2020

Combating the spread of fake news remains a difficult problem. For this reason, it is increasingly urgent to understand the phenomenon of fake news. This review aims to see why fake news is widely shared on social media and why some people believe it...

  • Article
  • Open Access
83 Citations
18,641 Views
16 Pages

Multimodal Fake News Detection

  • Isabel Segura-Bedmar and
  • Santiago Alonso-Bartolome

Over the last few years, there has been an unprecedented proliferation of fake news. As a consequence, we are more susceptible to the pernicious impact that misinformation and disinformation spreading can have on different segments of our society. Th...

  • Article
  • Open Access
4 Citations
3,095 Views
18 Pages

There are many techniques for faking videos that can alter the face in a video to look like another person. This type of fake video has caused a number of information security crises. Many deep learning-based detection methods have been developed for...

  • Article
  • Open Access
12 Citations
3,823 Views
19 Pages

Generative Adversarial Networks in Retinal Image Classification

  • Francesco Mercaldo,
  • Luca Brunese,
  • Fabio Martinelli,
  • Antonella Santone and
  • Mario Cesarelli

18 September 2023

The recent introduction of generative adversarial networks has demonstrated remarkable capabilities in generating images that are nearly indistinguishable from real ones. Consequently, both the academic and industrial communities have raised concerns...

  • Article
  • Open Access
5 Citations
3,448 Views
17 Pages

Few-Shot Learning for Misinformation Detection Based on Contrastive Models

  • Peng Zheng,
  • Hao Chen,
  • Shu Hu,
  • Bin Zhu,
  • Jinrong Hu,
  • Ching-Sheng Lin,
  • Xi Wu,
  • Siwei Lyu,
  • Guo Huang and
  • Xin Wang

19 February 2024

With the development of social media, the amount of fake news has risen significantly and had a great impact on both individuals and society. The restrictions imposed by censors make the objective reporting of news difficult. Most studies use supervi...

  • Proceeding Paper
  • Open Access
1 Citations
1,999 Views
4 Pages

Detection of Frauds in Deep Fake Using Deep Learning

  • Osipilli Aparna,
  • Pakanati Rani,
  • Tulluri Ramya,
  • Tanneru Priyanka,
  • Neela Sundari,
  • P. G. K. Sirisha,
  • Repudi Ramesh and
  • Dama Anand

23 September 2024

Research on DeepFake detection using deep neural networks (DNNs) has gained more attention in an effort to detect and categorize DeepFakes. In essence, DeepFakes are regenerated content made by changing particular DNN model elements. In this study, a...

  • Proceeding Paper
  • Open Access
10 Citations
4,924 Views
8 Pages

17 November 2019

New developments in artificial intelligence (AI) have significantly improved the quality and efficiency in generating fake face images; for example, the face manipulations by DeepFake are so realistic that it is difficult to distinguish their authent...

  • Review
  • Open Access
56 Citations
63,776 Views
27 Pages

A Comprehensive Review of DeepFake Detection Using Advanced Machine Learning and Fusion Methods

  • Gourav Gupta,
  • Kiran Raja,
  • Manish Gupta,
  • Tony Jan,
  • Scott Thompson Whiteside and
  • Mukesh Prasad

Recent advances in Generative Artificial Intelligence (AI) have increased the possibility of generating hyper-realistic DeepFake videos or images to cause serious harm to vulnerable children, individuals, and society at large with misinformation. To...

  • Article
  • Open Access
62 Citations
6,492 Views
12 Pages

21 January 2022

As one of the most popular social media platforms, microblogs are ideal places for news propagation. In microblogs, tweets with both text and images are more likely to attract attention than text-only tweets. This advantage is exploited by fake news...

  • Article
  • Open Access
5 Citations
5,670 Views
16 Pages

DeepGuard: Identification and Attribution of AI-Generated Synthetic Images

  • Yasmine Namani,
  • Ikram Reghioua,
  • Gueltoum Bendiab,
  • Mohamed Aymen Labiod and
  • Stavros Shiaeles

Text-to-image (T2I) synthesis, driven by advancements in deep learning and generative models, has seen significant improvements, enabling the creation of highly realistic images from textual descriptions. However, this rapid development brings challe...

  • Article
  • Open Access
55 Citations
8,386 Views
17 Pages

21 February 2020

The quality and efficiency of generating face-swap images have been markedly strengthened by deep learning. For instance, the face-swap manipulations by DeepFake are so real that it is tricky to distinguish authenticity through automatic or manual de...

  • Article
  • Open Access
9 Citations
3,367 Views
13 Pages

5 September 2019

When a missile is launched, the plume generated by the propulsion system will produce a lot of fake stars in the star image, which will affect the normal work of the missile-borne star sensor. A plume noise suppression algorithm based on star point s...

  • Article
  • Open Access
1 Citations
1,848 Views
21 Pages

17 June 2025

Large pre-trained models (PLMs) have provided tremendous opportunities and potentialities for multimodal fake news detection. However, existing multimodal fake news detection methods never manipulate the token-wise hierarchical semantics of news yiel...

  • Article
  • Open Access
41 Citations
12,732 Views
15 Pages

ADD: Attention-Based DeepFake Detection Approach

  • Aminollah Khormali and
  • Jiann-Shiun Yuan

Recent advancements of Generative Adversarial Networks (GANs) pose emerging yet serious privacy risks threatening digital media’s integrity and trustworthiness, specifically digital video, through synthesizing hyper-realistic images and videos,...

  • Article
  • Open Access
28 Citations
3,849 Views
16 Pages

29 November 2020

Biometric-based authentication is widely deployed on multimedia systems currently; however, biometric systems are vulnerable to image-level attacks for impersonation. Reconstruction attack (RA) and presentation attack (PA) are two typical instances f...

  • Article
  • Open Access
2 Citations
1,180 Views
38 Pages

The palm-vein recognition system has garnered attention as a biometric technology due to its resilience to external environmental factors, protection of personal privacy, and low risk of external exposure. However, with recent advancements in deep le...

  • Article
  • Open Access
263 Views
32 Pages

A Multimodal Ensemble-Based Framework for Detecting Fake News Using Visual and Textual Features

  • Muhammad Abdullah,
  • Hongying Zan,
  • Arifa Javed,
  • Muhammad Sohail,
  • Orken Mamyrbayev,
  • Zhanibek Turysbek,
  • Hassan Eshkiki and
  • Fabio Caraffini

21 January 2026

Detecting fake news is essential in natural language processing to verify news authenticity and prevent misinformation-driven social, political, and economic disruptions targeting specific groups. A major challenge in multimodal fake news detection i...

  • Article
  • Open Access
10 Citations
8,822 Views
15 Pages

30 June 2019

We propose Identical-pair Adversarial Networks (iPANs) to solve image-to-image translation problems, such as aerial-to-map, edge-to-photo, de-raining, and night-to-daytime. Our iPANs rely mainly on the effectiveness of adversarial loss function and i...

  • Article
  • Open Access
5 Citations
2,631 Views
23 Pages

With the development of internet technology, fake news has become a multi-modal collection. The current news detection methods cannot fully extract semantic information between modalities and ignore the rumor properties of fake news, making it diffic...

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