Results 41 to 50 of about 6,295 (185)

A Comprehensive Analysis of AI Biases in DeepFake Detection With Massively Annotated Databases

open access: yes, 2023
In recent years, image and video manipulations with Deepfake have become a severe concern for security and society. Many detection models and datasets have been proposed to detect Deepfake data reliably.
Pedersen, Marius   +3 more
core  

LLM‐based keyword augmentation for title‐driven evidence selection: A practical approach

open access: yesJournal of Forensic Sciences, EarlyView.
Abstract Keyword‐based search is widely used in digital forensic investigations, yet its effectiveness depends strongly on investigator experience, leading to inconsistent results and missed evidence. While previous studies have explored machine learning and large language models (LLMs) to address this, practical deployment is often constrained by ...
Sanghyun Yoo, Doowon Jeong
wiley   +1 more source

Deepfake video detection methods, approaches, and challenges

open access: yesAlexandria Engineering Journal
Deepfake technology creates highly realistic manipulated videos using deep learning models, which makes distinguishing between authentic and fake content extremely difficult.
Mubarak Alrashoud
doaj   +1 more source

A “Tech First” Approach to Foreign Policy? The Three Meanings of Tech Diplomacy

open access: yesGlobal Policy, EarlyView.
ABSTRACT Scholars have recently argued that international politics is plagued by instability as the world rapidly transitions from one crisis to another. This state of “Permacrisis,” or permanent crises between states, is driven by technological innovations which create new kinds of crises and drive competitions between adversarial states.
Ilan Manor
wiley   +1 more source

Does Human Collaboration Enhance the Accuracy of Identifying LLM-Generated Deepfake Texts?

open access: yes, 2023
Advances in Large Language Models (e.g., GPT-4, LLaMA) have improved the generation of coherent sentences resembling human writing on a large scale, resulting in the creation of so-called deepfake texts.
Huang, Ting-Hao 'Kenneth'   +5 more
core  

Tech Diplomacy and the Digital International Order: The Case of the EU–U.S. Trade and Technology Council

open access: yesGlobal Policy, EarlyView.
ABSTRACT This article examines the evolving role of the U.S.–EU Trade and Technology Council (TTC) in advancing the EU's digital diplomacy, with a particular focus on its contribution to global digital ordering. Positioned at the intersection of normative engagement and regulatory coordination, the TTC operates as a hybrid mechanism that integrates ...
Corneliu Bjola, Raluca Csernatoni
wiley   +1 more source

Deepfake Image Detection

open access: yesINTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
The growth of deepfakes in today’s digital environ- ment raises significant doubts regarding the genuineness and dependability of the content found. To overcome this new challenge, Developing an effective method in the context of detection of deep images.
V. Shinde Swati   +4 more
openaire   +2 more sources

Learning Self-distilled Features for Facial Deepfake Detection Using Visual Foundation Models: General Results and Demographic Analysis

open access: yesJournal on Interactive Systems
Modern deepfake techniques produce highly realistic false media content with the potential for spreading harmful information, including fake news and incitements to violence.
Yan Martins Braz Gurevitz Cunha   +6 more
doaj   +1 more source

DeepFaceLab: A simple, flexible and extensible face swapping framework

open access: yes, 2020
DeepFaceLab is an open-source deepfake system created by \textbf{iperov} for face swapping with more than 3,000 forks and 13,000 stars in Github: it provides an imperative and easy-to-use pipeline for people to use with no comprehensive understanding of ...
Chervoniy, Nikolay   +13 more
core  

Integrating Audio-Visual Features for Multimodal Deepfake Detection

open access: yes, 2023
Deepfakes are AI-generated media in which an image or video has been digitally modified. The advancements made in deepfake technology have led to privacy and security issues.
Jia, Shan, Lyu, Siwei, Muppalla, Sneha
core  

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