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Deeplearning has been used to solve complex problems in various domains. As it advances, it also creates applications which become a major threat to our privacy, security and even to our Democracy. Such an application which is being…

Computer Vision and Pattern Recognition · Computer Science 2020-09-17 Rahul U , Ragul M , Raja Vignesh K , Tejeswinee K

With the rapid progress of recent years, techniques that generate and manipulate multimedia content can now guarantee a very advanced level of realism. The boundary between real and synthetic media has become very thin. On the one hand,…

Computer Vision and Pattern Recognition · Computer Science 2023-07-19 Luisa Verdoliva

Video forgery detection is becoming an important issue in recent years, because modern editing software provide powerful and easy-to-use tools to manipulate videos. In this paper we propose to perform detection by means of deep learning,…

Computer Vision and Pattern Recognition · Computer Science 2017-08-30 Dario D'Avino , Davide Cozzolino , Giovanni Poggi , Luisa Verdoliva

Social media and messaging apps have become major communication platforms. Multimedia contents promote improved user engagement and have thus become a very important communication tool. However, fake news and manipulated content can easily…

Computer Vision and Pattern Recognition · Computer Science 2022-12-08 Irene Amerini , Aris Anagnostopoulos , Luca Maiano , Lorenzo Ricciardi Celsi

With the rapid development of generative technology, current generative models can generate high-fidelity digital content and edit it in a controlled manner. However, there is a risk that malicious individuals might misuse these…

Computer Vision and Pattern Recognition · Computer Science 2025-08-06 Junjie Cao , Kaizhou Li , Xinchun Yu , Hongxiang Li , Xiaoping Zhang

Fake videos represent an important misinformation threat. While existing forensic networks have demonstrated strong performance on image forgeries, recent results reported on the Adobe VideoSham dataset show that these networks fail to…

Computer Vision and Pattern Recognition · Computer Science 2023-03-14 Tai D. Nguyen , Shengbang Fang , Matthew C. Stamm

Recent advancements in deep learning generative models have raised concerns as they can create highly convincing counterfeit images and videos. This poses a threat to people's integrity and can lead to social instability. To address this…

Computer Vision and Pattern Recognition · Computer Science 2024-02-19 Leandro A. Passos , Danilo Jodas , Kelton A. P. da Costa , Luis A. Souza Júnior , Douglas Rodrigues , Javier Del Ser , David Camacho , João Paulo Papa

Deepfake videos are defined as a resulting media from the synthesis of different persons images and videos, mostly faces, replacing a real one. The easy spread of such videos leads to elevated misinformation and represents a threat to…

Social and Information Networks · Computer Science 2023-11-28 Nikolaos Misirlis , Harris Bin Munawar

The widespread availability of video recording through smartphones and digital devices has made video-based evidence more accessible than ever. Surveillance footage plays a crucial role in security, law enforcement, and judicial processes.…

Recent advances in AI-powered image editing tools have significantly lowered the barrier to image modification, raising pressing security concerns those related to spreading misinformation and disinformation on social platforms. Image…

Image and Video Processing · Electrical Eng. & Systems 2024-08-27 Keyang Zhang , Chenqi Kong , Shiqi Wang , Anderson Rocha , Haoliang Li

During the investigation of criminal activity when evidence is available, the issue at hand is determining the credibility of the video and ascertaining that the video is real. Today, one way to authenticate the footage is to identify the…

Computer Vision and Pattern Recognition · Computer Science 2022-10-18 Akash Nagaraj , Mukund Sood , Vivek Kapoor , Yash Mathur , Bishesh Sinha

Demonstrating the veracity of videos is a longstanding problem that has recently become more urgent and acute. It is extremely hard to accurately detect manipulated videos using content analysis, especially in the face of subtle, yet…

Cryptography and Security · Computer Science 2021-09-28 Yuxin , Liu , Yoshimichi Nakatsuka , Ardalan Amiri Sani , Sharad Agarwal , Gene Tsudik

Applying image processing algorithms independently to each frame of a video often leads to undesired inconsistent results over time. Developing temporally consistent video-based extensions, however, requires domain knowledge for individual…

Computer Vision and Pattern Recognition · Computer Science 2018-08-02 Wei-Sheng Lai , Jia-Bin Huang , Oliver Wang , Eli Shechtman , Ersin Yumer , Ming-Hsuan Yang

The growing presence of AI-generated videos on social networks poses new challenges for deepfake detection, as detectors trained under controlled conditions often fail to generalize to real-world scenarios. A key factor behind this gap is…

Computer Vision and Pattern Recognition · Computer Science 2025-09-15 Andrea Montibeller , Dasara Shullani , Daniele Baracchi , Alessandro Piva , Giulia Boato

Recent deep learning based video synthesis approaches, in particular with applications that can forge identities such as "DeepFake", have raised great security concerns. Therefore, corresponding deep forensic methods are proposed to tackle…

Computer Vision and Pattern Recognition · Computer Science 2020-08-12 Gengxing Wang , Jiahuan Zhou , Ying Wu

The recent renaissance in generative models, driven primarily by the advent of diffusion models and iterative improvement in GAN methods, has enabled many creative applications. However, each advancement is also accompanied by a rise in the…

Computer Vision and Pattern Recognition · Computer Science 2023-08-28 Sanjay Saha , Rashindrie Perera , Sachith Seneviratne , Tamasha Malepathirana , Sanka Rasnayaka , Deshani Geethika , Terence Sim , Saman Halgamuge

Video synthesis methods rapidly improved in recent years, allowing easy creation of synthetic humans. This poses a problem, especially in the era of social media, as synthetic videos of speaking humans can be used to spread misinformation…

Computer Vision and Pattern Recognition · Computer Science 2024-02-09 Gil Knafo , Ohad Fried

Short video platforms have become important channels for news dissemination, offering a highly engaging and immediate way for users to access current events and share information. However, these platforms have also emerged as significant…

Computer Vision and Pattern Recognition · Computer Science 2024-11-18 Weihao Zhong , Yinhao Xiao , Minghui Xu , Xiuzhen Cheng

Video editing increasingly demands the ability to incorporate specific real-world instances into existing footage, yet current approaches fundamentally fail to capture the unique visual characteristics of particular subjects and ensure…

Computer Vision and Pattern Recognition · Computer Science 2025-03-11 Shaobin Zhuang , Zhipeng Huang , Binxin Yang , Ying Zhang , Fangyikang Wang , Canmiao Fu , Chong Sun , Zheng-Jun Zha , Chen Li , Yali Wang

Visual content has become the primary source of information, as evident in the billions of images and videos, shared and uploaded on the Internet every single day. This has led to an increase in alterations in images and videos to make them…

Computer Vision and Pattern Recognition · Computer Science 2020-01-22 Prabhat Kumar , Mayank Vatsa , Richa Singh
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