Results 61 to 70 of about 6,295 (185)

Potential for use of Al/machine learning for pharmacovigilance: Is there a role for regulators?

British Journal of Clinical Pharmacology, EarlyView.
Christina Gao, Ashley M. Hopkins, Andrew Rowland, Stephen Bacchi   +3 more
wiley   +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  

Compassionate Digital Innovation: A Pluralistic Perspective and Research Agenda

Information Systems Journal, EarlyView.
ABSTRACT Digital innovation offers significant societal, economic and environmental benefits but is also a source of profound harms. Prior information systems (IS) research has often overlooked the ethical tensions involved, framing harms as ‘unintended consequences’ rather than symptoms of deeper systemic problems.
Raffaele F. Ciriello, Lars Mathiassen, Marten Risius, Marc Cheong, Helana Scheepers, Emmanuelle Vaast   +5 more
wiley   +1 more source

Explainable deepfake detection: A multi-model framework with human-interpretable rationales for legal investigation purposes

Machine Learning with Applications
The growing spread of deepfake images, combined with the sophistication of machine learning tools and techniques used to produce them, pose serious threats to the integrity of information, individual privacy, and the preservation of public trust.
Nitu Bharati, Patrick Wong, Soraya Kouadri Mostéfaoui, Dhouha Kbaier, Jan Collie   +4 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  

Do deepfakes, digital replicas and human digital twins justify personality rights?

The Journal of World Intellectual Property, EarlyView.
Abstract Unauthorised deepfakes are deeply problematic, from the spreading of misinformation to non‐consensual pornographic content. This paper asks whether deepfakes, digital replicas and human digital twins justify personality rights. To address this question, it examines the harms that deepfakes can cause through disinformation, demeaning content ...
Hayleigh Bosher
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

Automation and Augmentation in Theological Perspective

Modern Theology, EarlyView.
Abstract AI enables forms of automation that threaten unemployment and deskilling, eliminating important opportunities for the development of virtue. The concomitant loss of virtue and meaningful employment makes it a theological problem from the perspective of Catholic social teaching and theological anthropology.
Paul Scherz
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