A Novel Metric for Detecting Memorization in Generative Models for Brain MRI Synthesis
Fuente:
arXiv
Saved in:
| Main Authors: | Scardace, Antonio, Puglisi, Lemuel, Guarnera, Francesco, Battiato, Sebastiano, Ravì, Daniele |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI
by: Litrico, Mattia, et al.
Published: (2024)
by: Litrico, Mattia, et al.
Published: (2024)
SynthBA: Reliable Brain Age Estimation Across Multiple MRI Sequences and Resolutions
by: Puglisi, Lemuel, et al.
Published: (2024)
by: Puglisi, Lemuel, et al.
Published: (2024)
Reinforcing the Weakest Links: Modernizing SIENA with Targeted Deep Learning Integration
by: Raciti, Riccardo, et al.
Published: (2026)
by: Raciti, Riccardo, et al.
Published: (2026)
Temporally-Aware Diffusion Model for Brain Progression Modelling with Bidirectional Temporal Regularisation
by: Litrico, Mattia, et al.
Published: (2025)
by: Litrico, Mattia, et al.
Published: (2025)
Benchmarking GANs, Diffusion Models, and Flow Matching for T1w-to-T2w MRI Translation
by: Moschetto, Andrea, et al.
Published: (2025)
by: Moschetto, Andrea, et al.
Published: (2025)
On the Exploitation of DCT-Traces in the Generative-AI Domain
by: Pontorno, Orazio, et al.
Published: (2024)
by: Pontorno, Orazio, et al.
Published: (2024)
MITS-GAN: Safeguarding Medical Imaging from Tampering with Generative Adversarial Networks
by: Pasqualino, Giovanni, et al.
Published: (2024)
by: Pasqualino, Giovanni, et al.
Published: (2024)
A Novel Dataset for Non-Destructive Inspection of Handwritten Documents
by: Breci, Eleonora, et al.
Published: (2024)
by: Breci, Eleonora, et al.
Published: (2024)
Brain Latent Progression: Individual-based Spatiotemporal Disease Progression on 3D Brain MRIs via Latent Diffusion
by: Puglisi, Lemuel, et al.
Published: (2025)
by: Puglisi, Lemuel, et al.
Published: (2025)
On the exploitation of DCT statistics for cropping detectors
by: Ragaglia, Claudio Vittorio, et al.
Published: (2024)
by: Ragaglia, Claudio Vittorio, et al.
Published: (2024)
Innovative Methods for Non-Destructive Inspection of Handwritten Documents
by: Breci, Eleonora, et al.
Published: (2023)
by: Breci, Eleonora, et al.
Published: (2023)
Improving Video Deepfake Detection: A DCT-Based Approach with Patch-Level Analysis
by: Guarnera, Luca, et al.
Published: (2023)
by: Guarnera, Luca, et al.
Published: (2023)
GenAI Mirage: The Impostor Bias and the Deepfake Detection Challenge in the Era of Artificial Illusions
by: Casu, Mirko, et al.
Published: (2023)
by: Casu, Mirko, et al.
Published: (2023)
Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge
by: Puglisi, Lemuel, et al.
Published: (2024)
by: Puglisi, Lemuel, et al.
Published: (2024)
Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery
by: Giusti, Claudio, et al.
Published: (2025)
by: Giusti, Claudio, et al.
Published: (2025)
DeepFeatureX Net: Deep Features eXtractors based Network for discriminating synthetic from real images
by: Pontorno, Orazio, et al.
Published: (2024)
by: Pontorno, Orazio, et al.
Published: (2024)
TRUST: Leveraging Text Robustness for Unsupervised Domain Adaptation
by: Litrico, Mattia, et al.
Published: (2025)
by: Litrico, Mattia, et al.
Published: (2025)
Deepfake Forensic Analysis: Source Dataset Attribution and Legal Implications of Synthetic Media Manipulation
by: Cassia, Massimiliano, et al.
Published: (2025)
by: Cassia, Massimiliano, et al.
Published: (2025)
Enhancing Crime Scene Investigations through Virtual Reality and Deep Learning Techniques
by: Zappalà, Antonino, et al.
Published: (2024)
by: Zappalà, Antonino, et al.
Published: (2024)
End-to-end Audio Deepfake Detection from RAW Waveforms: a RawNet-Based Approach with Cross-Dataset Evaluation
by: Di Pierno, Andrea, et al.
Published: (2025)
by: Di Pierno, Andrea, et al.
Published: (2025)
Embedding Space Selection for Detecting Memorization and Fingerprinting in Generative Models
by: He, Jack, et al.
Published: (2024)
by: He, Jack, et al.
Published: (2024)
Generative Modeling of Weights: Generalization or Memorization?
by: Zeng, Boya, et al.
Published: (2025)
by: Zeng, Boya, et al.
Published: (2025)
Quantifying Cross-Modality Memorization in Vision-Language Models
by: Wen, Yuxin, et al.
Published: (2025)
by: Wen, Yuxin, et al.
Published: (2025)
Towards Reliable Audio Deepfake Attribution and Model Recognition: A Multi-Level Autoencoder-Based Framework
by: Di Pierno, Andrea, et al.
Published: (2025)
by: Di Pierno, Andrea, et al.
Published: (2025)
SynthForensics: Benchmarking and Evaluating People-Centric Synthetic Video Deepfakes
by: Leotta, Roberto, et al.
Published: (2026)
by: Leotta, Roberto, et al.
Published: (2026)
Count2Density: Crowd Density Estimation without Location-level Annotations
by: Litrico, Mattia, et al.
Published: (2025)
by: Litrico, Mattia, et al.
Published: (2025)
CoCoLIT: ControlNet-Conditioned Latent Image Translation for MRI to Amyloid PET Synthesis
by: Sargood, Alec, et al.
Published: (2025)
by: Sargood, Alec, et al.
Published: (2025)
Generalization and Memorization in Rectified Flow
by: Rao, Mingxing, et al.
Published: (2026)
by: Rao, Mingxing, et al.
Published: (2026)
From Memorization to Creativity: LLM as a Designer of Novel Neural Architectures
by: Khalid, Waleed, et al.
Published: (2026)
by: Khalid, Waleed, et al.
Published: (2026)
Brain Tumor Detection in MRI Based on Federated Learning with YOLOv11
by: Monisha, Sheikh Moonwara Anjum, et al.
Published: (2025)
by: Monisha, Sheikh Moonwara Anjum, et al.
Published: (2025)
Efficient Slice Anomaly Detection Network for 3D Brain MRI Volume
by: Zhang, Zeduo, et al.
Published: (2024)
by: Zhang, Zeduo, et al.
Published: (2024)
Enhancing Reconstruction-Based Out-of-Distribution Detection in Brain MRI with Model and Metric Ensembles
by: Huijben, Evi M. C., et al.
Published: (2024)
by: Huijben, Evi M. C., et al.
Published: (2024)
Memorization in 3D Shape Generation: An Empirical Study
by: Pu, Shu, et al.
Published: (2025)
by: Pu, Shu, et al.
Published: (2025)
Training-Free Zero-Shot Anomaly Detection in 3D Brain MRI with 2D Foundation Models
by: Le-Gia, Tai, et al.
Published: (2026)
by: Le-Gia, Tai, et al.
Published: (2026)
Déjà Vu Memorization in Vision-Language Models
by: Jayaraman, Bargav, et al.
Published: (2024)
by: Jayaraman, Bargav, et al.
Published: (2024)
Uncertainty-guided Open-Set Source-Free Unsupervised Domain Adaptation with Target-private Class Segregation
by: Litrico, Mattia, et al.
Published: (2024)
by: Litrico, Mattia, et al.
Published: (2024)
Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection
by: Dauncey, Sam, et al.
Published: (2024)
by: Dauncey, Sam, et al.
Published: (2024)
Bayesian Autoencoder for Medical Anomaly Detection: Uncertainty-Aware Approach for Brain 2 MRI Analysis
by: Roy, Dip
Published: (2025)
by: Roy, Dip
Published: (2025)
Multi-Domain Brain Vessel Segmentation Through Feature Disentanglement
by: Galati, Francesco, et al.
Published: (2025)
by: Galati, Francesco, et al.
Published: (2025)
Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis
by: Dorjsembe, Zolnamar, et al.
Published: (2023)
by: Dorjsembe, Zolnamar, et al.
Published: (2023)
Similar Items
-
TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI
by: Litrico, Mattia, et al.
Published: (2024) -
SynthBA: Reliable Brain Age Estimation Across Multiple MRI Sequences and Resolutions
by: Puglisi, Lemuel, et al.
Published: (2024) -
Reinforcing the Weakest Links: Modernizing SIENA with Targeted Deep Learning Integration
by: Raciti, Riccardo, et al.
Published: (2026) -
Temporally-Aware Diffusion Model for Brain Progression Modelling with Bidirectional Temporal Regularisation
by: Litrico, Mattia, et al.
Published: (2025) -
Benchmarking GANs, Diffusion Models, and Flow Matching for T1w-to-T2w MRI Translation
by: Moschetto, Andrea, et al.
Published: (2025)