| Video camera identification from sensor pattern noise with a constrained convnet D Timmerman, S Bennabhaktula, E Alegre, G Azzopardi arXiv preprint arXiv:2012.06277, 2020 | 29 | 2020 |
| Camera model identification based on forensic traces extracted from homogeneous patches GS Bennabhaktula, E Alegre, D Karastoyanova, G Azzopardi Expert Systems with Applications 206, 117769, 2022 | 23 | 2022 |
| Source camera device identification from videos GS Bennabhaktula, D Timmerman, E Alegre, G Azzopardi SN Computer Science 3 (4), 316, 2022 | 20 | 2022 |
| Device-based Image Matching with Similarity Learning by Convolutional Neural Networks that Exploit the Underlying Camera Sensor Pattern Noise B Guru Swaroop, A Enrique, K Dimka, A George International Conference on Pattern Recognition Applications and Methods 1 …, 2020 | 10* | 2020 |
| On improving generalization of CNN-based image classification with delineation maps using the CORF push-pull inhibition operator GS Bennabhaktula, J Antonisse, G Azzopardi International Conference on Computer Analysis of Images and Patterns, 434-444, 2021 | 1 | 2021 |
| PushPull-Net: Inhibition-driven ResNet robust to image corruptions GS Bennabhaktula, E Alegre, N Strisciuglio, G Azzopardi International Conference on Pattern Recognition, 391-408, 2024 | | 2024 |
| Leveraging image noise: source camera identification and increased robustness of convolutional neural networks GS Bennabhaktula | | 2023 |
| Classifying Screenshots of Industrial Control System Using Transfer Learning and Fine-Tuning RA Carofilis Vasco, P Blanco Medina, F Jáñez Martino, ... Investigación en Ciberseguridad. Actas de las VI Jornadas Nacionales …, 0 | | |
George AzzopardiAssociate Professor, Computer Science, Bernoulli Institute, University of GroningenΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα rug.nl