10 citations · 12 across the 7 of their papers we have counts for
10 papers
Discrete Diffusion for Large Graph Generation via Structural Candidate Restriction
Yassin Mohamadi, Zeno Geradts, Marcel Worring
Synthesizing realistic graphs at scale is vital when the graphs of interest are large and real-world samples are limited or access-sensitive. Diffusion-based generators have recent…
Forensic Activity Classification Using Digital Traces from iPhones: A Machine Learning-based Approach
Conor McCarthy, Jan Peter van Zandwijk, Marcel Worring +1
Smartphones and smartwatches are ever-present in daily life, and provide a rich source of information on their users' behaviour. In particular, digital traces derived from the phon…
Interactive Hypergraph Visual Analytics for Exploring Large and Complex Image Collections
Floris Gisolf, Zeno J. M. H. Geradts, Marcel Worring
Analyzing large complex image collections in domains like forensics, accident investigation, or social media analysis involves interpreting intricate, overlapping relationships amo…
Hi-OSCAR: Hierarchical Open-set Classifier for Human Activity Recognition
Conor McCarthy, Loes Quirijnen, Jan Peter van Zandwijk +2
Within Human Activity Recognition (HAR), there is an insurmountable gap between the range of activities performed in life and those that can be captured in an annotated sensor data…
LATTE: Latent Trajectory Embedding for Diffusion-Generated Image Detection
Ana Vasilcoiu, Ivona Najdenkoska, Zeno Geradts +1
The rapid advancement of diffusion-based image generators has made it increasingly difficult to distinguish generated from real images. This erodes trust in digital media, making i…
Scraping the Shadows: Deep Learning Breakthroughs in Dark Web Intelligence
Ingmar Bakermans, Daniel De Pascale, Gonçalo Marcelino +2
Darknet markets (DNMs) facilitate the trade of illegal goods on a global scale. Gathering data on DNMs is critical to ensuring law enforcement agencies can effectively combat crime…
ProtoExplorer: Interpretable Forensic Analysis of Deepfake Videos using Prototype Exploration and Refinement
Merel de Leeuw den Bouter, Javier Lloret Pardo, Zeno Geradts +1
In high-stakes settings, Machine Learning models that can provide predictions that are interpretable for humans are crucial. This is even more true with the advent of complex deep…
Forensic Video Steganalysis in Spatial Domain by Noise Residual Convolutional Neural Network
Mart Keizer, Zeno Geradts, Meike Kombrink
This research evaluates a convolutional neural network (CNN) based approach to forensic video steganalysis. A video steganography dataset is created to train a CNN to conduct foren…
Verification system based on long-range iris and Graph Siamese Neural Networks
Francesco Zola, Jose Alvaro Fernandez-Carrasco, Jan Lukas Bruse +2
Biometric systems represent valid solutions in tasks like user authentication and verification, since they are able to analyze physical and behavioural features with high precision…
Camera identification by grouping images from database, based on shared noise patterns
Teun Baar, Wiger van Houten, Zeno Geradts
Previous research showed that camera specific noise patterns, so-called PRNU-patterns, are extracted from images and related images could be found. In this particular research the…