Results 101 to 110 of about 12,433 (211)

Deepfake Detection

Social Science Research Network
: The growing computation power has made the deep learning algorithms so powerful that creating an indistinguishable human synthesized video popularly called as deepfakes have become very simple.
Sharv Sankpal, Junaid Kazi, Man Kadu, Avadhoot Jogade, Yuvraj Nikam   +4 more
semanticscholar   +1 more source

THE SURVEY ON WATERMARKING METHODS FOR PROACTIVE DEFENSE AGAINST DEEPFAKE

Кібербезпека: освіта, наука, техніка
As generative models advance, deepfake content is becoming indistinguishable from reality and passive forensic detection methods are becoming increasingly ineffective.
Михайло Марчук, Віталій Лукічов   +1 more
doaj   +1 more source

A self-supervised BEiT model with a novel hierarchical patchReducer for efficient facial deepfake detection

Artificial Intelligence Review
The spread of deepfake technology has become a growing concern, especially with the rapid advancement of generative models. This progress has made it increasingly difficult to distinguish between real and fake facial videos. This poses serious threats to
Aneesa Al Redhaei, Salam Fraihat, M. Al-Betar   +2 more
semanticscholar   +1 more source

Generative AI and the rise of deepfake technology: a journey from traditional techniques to LLM integration

Discover Applied Sciences
Generative artificial intelligence (AI) is advancing rapidly, with deepfake technology illustrating the intersection of AI and multimedia forensics. This study examines the classification and evolution of deepfake, exploring their definition, societal ...
Fariha Jahan, Sirajum Munira Shifat, Md. Kishor Morol, Nafiz Fahad, Kah Ong Michael Goh, Dip Nandi, Md. Abdullah-Al-Jubair, Md. Jakir Hossen   +7 more
doaj   +1 more source

Penerapan Asas Geen Straf Zonder Schuld Dalam Penindakan Terhadap Kejahatan Penyalahgunaan Teknologi Deepfake

Jurnal USM Law Review
This research aims to find out the role of criminal law in responding to the development and abuse of deepfakes through the application of the geen straf zonder schuld principle as a basis for prosecution.
Fasa Muhamad Hapid, Ija Suntana, Muhammad Yayan Royani   +2 more
doaj   +1 more source

Cortical-striatal brain network distinguishes deepfake from real speaker identity

Communications Biology
Deepfakes are viral ingredients of digital environments, and they can trick human cognition into misperceiving the fake as real. Here, we test the neurocognitive sensitivity of 25 participants to accept or reject person identities as recreated in audio ...
Claudia Roswandowitz, Thayabaran Kathiresan, Elisa Pellegrino, Volker Dellwo, Sascha Frühholz   +4 more
doaj   +1 more source

Hear Us, then Protect Us: Navigating Deepfake Scams and Safeguard Interventions with Older Adults through Participatory Design

International Conference on Human Factors in Computing Systems
Deepfake—manipulating individuals’ facial features and voices with AI—has introduced new challenges to online scams, with older adults being particularly vulnerable.
Yuxiang Zhai, Xiao Xue, Zekai Guo, Tongtong Jin, Yuting Diao, Jihong Jeung   +5 more
semanticscholar   +1 more source

Identifikasi Wajah Asli dan Buatan Deepfake Menggunakan Metode Convolutional Neural Network

Teknika
Di era teknologi saat ini, penggunaan dari Artificial Intelligence sangat berkembang pesat. Banyak teknologi yang sudah menerapkan AI untuk menghasilkan suatu informasi.
Jesselyn Mu, Muhammad Adrezo, Ahmed Nizhan Haikal   +2 more
doaj   +1 more source

Dampak Penyalahgunaan Deepfake dalam Memanipulasi Visual: Menguak Potensi Infopocalypse di Era Post Truth Terhadap Asumsi Masyarakat pada Media Massa

Jurnal Kawistara
Pesatnya perkembangan teknologi berupa kecerdasan buatan memberikan dampak positif yang dapat memudahkan pekerjaan manusia, tetapi kecerdasan buatan juga berpotensi untuk disalahgunakan terutama dalam teknologi deepfake.
Azizatuz Zahro', Rafika Rizky Nur Fadhilah, Salsabila Zahra Hermawati, Guntur Naufal Imaduddin, Aisya Alyani Santoso   +4 more
doaj   +1 more source

DeepFake-o-meter v2.0: An Open Platform for DeepFake Detection

2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR)
Deepfakes, as AI-generated media, have increasingly threatened media integrity and personal privacy with realistic yet fake digital content. In this work, we introduce an open-source and user-friendly online platform, DeepFake-O-Meter v2.0, that integrates state-of-the-art methods for detecting Deepfake images, videos, and audio.
Yan Ju, Chengzhe Sun 0001, Shan Jia, Shuwei Hou, Zhaofeng Si, Soumyya Kanti Datta, Lipeng Ke, Riky Zhou, Anita Nikolich, Siwei Lyu   +9 more
openaire   +2 more sources