Results 61 to 70 of about 6,771 (199)

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

Aggregating Layers for Deepfake Detection

2022 26th International Conference on Pattern Recognition (ICPR), 2022
The increasing popularity of facial manipulation (Deepfakes) and synthetic face creation raises the need to develop robust forgery detection solutions. Crucially, most work in this domain assume that the Deepfakes in the test set come from the same Deepfake algorithms that were used for training the network.
Amir Jevnisek, Shai Avidan
openaire   +2 more sources

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

Deepfake Detection: A Comprehensive Study from the Reliability Perspective

, 2022
The mushroomed Deepfake synthetic materials circulated on the internet have raised serious social impact to politicians, celebrities, and every human being on earth.
Chang, Xiaojun, Chow, Kam Pui, Wang, Tianyi, Wang, Yinglong   +3 more
core  

Identity-Driven DeepFake Detection

CoRR, 2020
DeepFake detection has so far been dominated by ``artifact-driven'' methods and the detection performance significantly degrades when either the type of image artifacts is unknown or the artifacts are simply too hard to find. In this work, we present an alternative approach: Identity-Driven DeepFake Detection.
Xiaoyi Dong, Jianmin Bao, Dongdong Chen 0001, Weiming Zhang 0001, Nenghai Yu, Dong Chen 0003, Fang Wen 0001, Baining Guo   +7 more
openaire   +2 more sources

Keeping Up With the Times? Rethinking Social Evaluations Research Under Contemporary Technological and Sociopolitical Forces

Journal of Management Studies, EarlyView.
Abstract The context within which social evaluations form has been fundamentally altered by contemporary forces, such as digital technologies, polarization, activism, politicization of business, and geopolitical tensions. While research on social evaluations has generated rich insights into the formation and development of constructs, such as ...
Marco Clemente, Michael Etter, Yuliya Snihur, Gokhan Ertug, Graffin Scott, Anastasiya Zavyalova   +5 more
wiley   +1 more source

Enhancing deepfake detection with Adaptive-DCGAN and Lite-CNN: a novel approach to image classification

Discover Applied Sciences
The rapid advancement of digital content generation technologies has led to the proliferation of deepfake media, posing significant security and privacy risks on social networks.
Deepa Javiya, Gordhan Jethava, Himani Parmar, Sweta Jethava   +3 more
doaj   +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

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  

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