Digital Media Forensic Detection

TopicLeading institutions, researchers & key papers

This cluster of papers focuses on the detection and identification of digital image forgeries, including techniques such as copy-move forgery detection, sensor pattern noise analysis, JPEG compression history estimation, camera model identification, splicing detection, and tampering localization. The papers also explore the application of deep learning methods for image forensics and the detection of inconsistencies in image manipulation.

Works

IDs:OpenAlex

How has Digital Media Forensic Detection's publication output changed over time?

ScholarIQpublication output · 2011–2023

Output grew100% over the shown period — from 1 works in 2011 to 2 in 2023.

2011201720182019202120222023

What are the most-cited papers on Digital Media Forensic Detection?

ScholarIQmost cited works

MesoNet: a Compact Facial Video Forgery Detection Network

Darius Afchar, Vincent Nozick, Junichi Yamagishi, Isao Echizen

20181,731 CitationsOPEN ACCESS

Capsule-forensics: Using Capsule Networks to Detect Forged Images and Videos

Huy H. Nguyen, Junichi Yamagishi, Isao Echizen

2019861 CitationsOPEN ACCESS

Multi-task Learning for Detecting and Segmenting Manipulated Facial Images and Videos

Huy H. Nguyen, Fuming Fang, Junichi Yamagishi, Isao Echizen

2019529 CitationsOPEN ACCESS

Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward

Momina Masood, Marriam Nawaz, Khalid Mahmood Malik, Ali Javed, Aun Irtaza, Hafiz Malik

S74726891. 2022495 Citations

Deep learning for deepfakes creation and detection: A survey

Thanh Thi Nguyen, Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Dung T. Nguyen, Duc Thanh Nguyen, Thien Huynh‐The, Saeid Nahavandi, Thanh Thi Nguyen, Thành Tâm Nguyên, Quoc‐Viet Pham, Cuong Nguyen

S185008460. 2022433 CitationsOPEN ACCESS