Results 61 to 70 of about 6,210 (184)

Coexistence of Deepfake Defenses: Addressing the Poisoning Challenge

IEEE Access
As Generative Adversarial Networks advance, deepfakes have become increasingly realistic, thereby escalating societal, economic, and political threats. In confronting these heightened risks, the research community has identified two promising defensive ...
Jaewoo Park, Leo Hyun Park, Hong Eun Ahn, Taekyoung Kwon   +3 more
doaj   +1 more source

AVA: Inconspicuous Attribute Variation-based Adversarial Attack bypassing DeepFake Detection

, 2023
While DeepFake applications are becoming popular in recent years, their abuses pose a serious privacy threat. Unfortunately, most related detection algorithms to mitigate the abuse issues are inherently vulnerable to adversarial attacks because they are ...
Guo, Shanqing, Ju, Lei, Meng, Xiangtao, Wang, Li, Zhao, Qingchuan   +4 more
core  

Artificial Intelligence in Multimedia Content Generation: A Review of Audio and Video Synthesis Techniques

Journal of the Society for Information Display, Volume 34, Issue 2, Page 49-67, February 2026.
Modern AI systems can now synthesize coherent multimedia experiences, generating video and audio directly from text prompts. These unified frameworks represent a rapid shift toward controllable and synchronized content creation. From early neural architectures to transformer and diffusion paradigms, this paper contextualizes the ongoing evolution of ...
Charles Ding, Rohan Bhowmik
wiley   +1 more source

Artificial rabbits optimization with transfer learning based deepfake detection model for biometric applications

Ain Shams Engineering Journal
Deepfake detection is a significant area of research in biometric applications, as it is essential to ensure the integrity and authenticity of biometric information.
Sana Alazwari, Marwa Obayya Jamal Alsamri, Mohammad Alamgeer, Rana Alabdan, Ibrahim Alzahrani, Mohammed Rizwanullah, Azza Elneil Osman   +6 more
doaj   +1 more source

ADD 2023: the Second Audio Deepfake Detection Challenge

, 2023
Audio deepfake detection is an emerging topic in the artificial intelligence community. The second Audio Deepfake Detection Challenge (ADD 2023) aims to spur researchers around the world to build new innovative technologies that can further accelerate ...
Fu, Ruibo, Gu, Hao, Li, Haizhou, Lian, Zheng, Liang, Shan, Nie, Shuai, Ren, Yong, Tao, Jianhua, Wang, Chenglong, Wang, Tao, Wen, Zhengqi, Xu, Le, Yan, Xinrui, Yi, Jiangyan, Zhang, Chu Yuan, Zhang, Xiaohui, Zhao, Yan, Zhou, Junzuo   +17 more
core  

Against the Manhattan project framing of AI alignment

Mind &Language, Volume 41, Issue 1, Page 119-136, February 2026.
In response to the worry that autonomous generally intelligent artificial agents may at some point take over control of human affairs a common suggestion is that we should “solve the alignment problem” for such agents. We show that current discourse around this suggestion often uses a particular framing of artificial intelligence (AI) alignment as ...
Simon Friederich, Leonard Dung
wiley   +1 more source

FSD: An Initial Chinese Dataset for Fake Song Detection

, 2023
Singing voice synthesis and singing voice conversion have significantly advanced, revolutionizing musical experiences. However, the rise of "Deepfake Songs" generated by these technologies raises concerns about authenticity.
Cheng, Haonan, Jiang, Zhenghao, Lu, Xiaolin, Xie, Yuankun, Yang, Yuxin, Ye, Long, Zhou, Jingjing   +6 more
core  

FaceSwap based DeepFakes Detection

The International Arab Journal of Information Technology, 2022
The progression of Machine Learning (ML) has introduced new trends in the area of image processing. Moreover, ML presents lightweight applications capable of running with minimum computational resources like Deepfakes, which generates widely manipulated multimedia data.
Marriam Nawaz, Momina Masood, Ali Javed, Tahira Nazir   +3 more
openaire   +1 more source

GenConViT: Deepfake Video Detection Using Generative Convolutional Vision Transformer

Applied Sciences
Deepfakes have raised significant concerns due to their potential to spread false information and compromise the integrity of digital media. Current deepfake detection models often struggle to generalize across a diverse range of deepfake generation ...
Deressa Wodajo Deressa, Hannes Mareen, Peter Lambert, Solomon Atnafu, Zahid Akhtar, Glenn Van Wallendael   +5 more
doaj   +1 more source

The issues caused by misinformation—How workers and organizations deal with it: A systematic literature review. An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, Volume 77, Issue 1, Page 133-162, January 2026.
Abstract In today's digital age, misinformation propagates rapidly through digital channels, blurring the lines between truth and fiction, and challenging the foundations of trust in information sources. Although affecting all spheres of life, misinformation poses a significant threat to workers highlighting a critical intersection between ...
Ashwani Malhotra, Nina Evans, Jing Gao, Jia Tina Du, Connie Zheng   +4 more
wiley   +1 more source