Cover Image

Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Xinkai, Tokuoka, Yuta, Iwasawa, Junichiro, Oda, Keita
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Membership Inference Attacks with False Discovery Rate Control
by: Zhao, Chenxu, et al.
Published: (2025)

Score-based Membership Inference on Diffusion Models
by: Rao, Mingxing, et al.
Published: (2025)

Dual-Model Defense: Safeguarding Diffusion Models from Membership Inference Attacks through Disjoint Data Splitting
by: Tran, Bao Q., et al.
Published: (2024)

Towards Black-Box Membership Inference Attack for Diffusion Models
by: Li, Jingwei, et al.
Published: (2024)

Privacy-Preserving Low-Rank Adaptation against Membership Inference Attacks for Latent Diffusion Models
by: Luo, Zihao, et al.
Published: (2024)

A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models
by: Fu, Wenjie, et al.
Published: (2023)

WorldPack: Compressed Memory Improves Spatial Consistency in Video World Modeling
by: Oshima, Yuta, et al.
Published: (2025)

ImpMIA: Leveraging Implicit Bias for Membership Inference Attack
by: Golbari, Yuval, et al.
Published: (2025)

Synthetic Image Learning: Preserving Performance and Preventing Membership Inference Attacks
by: Lomurno, Eugenio, et al.
Published: (2024)

Membership Inference Attacks against Large Vision-Language Models
by: Li, Zhan, et al.
Published: (2024)

Spatial-and-Frequency-aware Restoration method for Images based on Diffusion Models
by: Lee, Kyungsung, et al.
Published: (2024)

Calibrated and Robust Foundation Models for Vision-Language and Medical Image Tasks Under Distribution Shift
by: Khan, Behraj, et al.
Published: (2025)

Identity-Focused Inference and Extraction Attacks on Diffusion Models
by: Vora, Jayneel, et al.
Published: (2024)

Diffence: Fencing Membership Privacy With Diffusion Models
by: Peng, Yuefeng, et al.
Published: (2023)

Post-training Quantization for Text-to-Image Diffusion Models with Progressive Calibration and Activation Relaxing
by: Tang, Siao, et al.
Published: (2023)

Membership Inference Attacks for Face Images Against Fine-Tuned Latent Diffusion Models
by: Holme, Lauritz Christian, et al.
Published: (2025)

Unveiling Structural Memorization: Structural Membership Inference Attack for Text-to-Image Diffusion Models
by: Li, Qiao, et al.
Published: (2024)

Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free
by: Favero, Gian Mario, et al.
Published: (2025)

Memory-Efficient 3D Denoising Diffusion Models for Medical Image Processing
by: Bieder, Florentin, et al.
Published: (2023)

Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP
by: Jin, Ruinan, et al.
Published: (2024)

Diffusion-Based Data Augmentation for Medical Image Segmentation
by: Nazir, Maham, et al.
Published: (2025)

Performance Plateaus in Inference-Time Scaling for Text-to-Image Diffusion Without External Models
by: Choi, Changhyun, et al.
Published: (2025)

ProCNS: Progressive Prototype Calibration and Noise Suppression for Weakly-Supervised Medical Image Segmentation
by: Liu, Y., et al.
Published: (2024)

Gradient-Aligned Calibration for Post-Training Quantization of Diffusion Models
by: Hoang, Dung Anh, et al.
Published: (2026)

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations
by: Jin, Qixuan, et al.
Published: (2024)

Unlocking Noise-Resistant Vision: Key Architectural Secrets for Robust Models
by: Kim, Bum Jun, et al.
Published: (2025)

Inference Attacks Against Face Recognition Model without Classification Layers
by: Huang, Yuanqing, et al.
Published: (2024)

Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction
by: Barbano, Riccardo, et al.
Published: (2023)

Generative Diffusion Augmentation with Quantum-Enhanced Discrimination for Medical Image Diagnosis
by: Xia, Jingsong, et al.
Published: (2026)

Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder
by: Atad, Matan, et al.
Published: (2024)

A Fast and Efficient Modern BERT based Text-Conditioned Diffusion Model for Medical Image Segmentation
by: Dhara, Venkata Siddharth, et al.
Published: (2025)

GenAI Confessions: Black-box Membership Inference for Generative Image Models
by: Bohacek, Matyas, et al.
Published: (2025)

Privacy Attacks on Image AutoRegressive Models
by: Kowalczuk, Antoni, et al.
Published: (2025)

FEB-Cache: Frequency-Guided Exposure Bias Reduction for Enhancing Diffusion Transformer Caching
by: Zou, Zhen, et al.
Published: (2025)

Membership Inference Attack Against Masked Image Modeling
by: Li, Zheng, et al.
Published: (2024)

Exploring the Coordination of Frequency and Attention in Masked Image Modeling
by: Gui, Jie, et al.
Published: (2022)

Overconfidence and Calibration in Medical VQA: Empirical Findings and Hallucination-Aware Mitigation
by: Byun, Ji Young, et al.
Published: (2026)

Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles
by: Shen, Xing, et al.
Published: (2023)

Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation
by: Kaleta, Joanna, et al.
Published: (2024)

Unified Control for Inference-Time Guidance of Denoising Diffusion Models
by: Goyal, Maurya, et al.
Published: (2025)