[HTML][HTML] Continual learning for adaptive social network identification

S Magistri, D Baracchi, D Shullani, AD Bagdanov… - Pattern Recognition …, 2024 - Elsevier
The popularity of social networks as primary mediums for sharing visual content has made it
crucial for forensic experts to identify the original platform of multimedia content. Various …

[HTML][HTML] Uncovering the authorship: Linking media content to social user profiles

D Baracchi, D Shullani, M Iuliani, D Giani… - Pattern Recognition …, 2024 - Elsevier
The extensive spread of fake news on social networks is carried out by a diverse range of
users, encompassing private individuals, newspapers, and organizations. With widely …

Opposing agents evolve the research: a decade of digital forensics

R Raman, AK Sahu, VK Nair, P Nedungadi - Multimedia Tools and …, 2024 - Springer
This study aims to address the growing cyber threats and the spread of digital
misinformation, particularly intensified by digital transformation during the COVID-19 …

Forensic Recognition of Codec-Specific Image Compression Artefacts

M Hafner, A Radovic, M Langer, S Findenig… - Proceedings of the 2024 …, 2024 - dl.acm.org
This work investigates the possibility to conduct a forensic discrimination of decoded
versions of 10 different lossy image compression file formats, including 4 ISO/IEC still image …

Using machine learning and topic modeling to examine manifestos of violent attackers.

VG Petreca, AA Burgess, J Wise… - Journal of Threat …, 2024 - psycnet.apa.org
This study is a linguistic analysis of 23 published manifestos written by violent offenders who
committed or threatened a targeted attack. The acts of violence were primarily motivated by …

Towards open-world multimedia forensics through media signature encoding

D Baracchi, G Boato, F De Natale, M Iuliani… - IEEE …, 2024 - ieeexplore.ieee.org
Countering image and video manipulations is getting more and more relevant in several
fields such as investigation, intelligence and forensics. Multimedia forensics researchers …

[HTML][HTML] Social Network Forensics Analysis Model Based on Network Representation Learning

K Zhao, H Zhang, J Li, Q Pan, L Lai, Y Nie, Z Zhang - Entropy, 2024 - mdpi.com
The rapid evolution of computer technology and social networks has led to massive data
generation through interpersonal communications, necessitating improved methods for …

Toward social media forensics through development of iOS analyzers for evidence collection and analysis

MF Hyder, S Arshad, T Fatima - Concurrency and Computation …, 2024 - Wiley Online Library
Social media usage in mobile phones has increased substantially in recent times, and they
are a critically important source of a forensics investigation. In this paper, we have …

Structure Matters: Analyzing Videos Via Graph Neural Networks for Social Media Platform Attribution

A Gemelli, D Shullani, D Baracchi… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
Detecting the origin of a digital video within a social network is a critical task that aids law
enforcement and intelligence agencies in identifying the creators of misleading visual …

Efficient Architectures and Incremental Methodologies for Deep Learning

S Magistri, AD Bagdanov - 2024 - flore.unifi.it
Deep Neural Networks (DNNs) are fundamental to Artificial Intelligence (AI) applications,
demonstrating remarkable performance across a diverse range of tasks in industries such as …