Cover Image

Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Raj, Ankita, Swaika, Harsh, Varma, Deepankar, Arora, Chetan
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Cryptography and Security Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Examining the Threat Landscape: Foundation Models and Model Stealing
by: Raj, Ankita, et al.
Published: (2025)

Report of the Medical Image De-Identification (MIDI) Task Group -- Best Practices and Recommendations
by: Clunie, David A., et al.
Published: (2023)

Survey on Adversarial Attack and Defense for Medical Image Analysis: Methods and Challenges
by: Dong, Junhao, et al.
Published: (2023)

Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations
by: Lin, Xun, et al.
Published: (2024)

Pixel-Inconsistency Modeling for Image Manipulation Localization
by: Kong, Chenqi, et al.
Published: (2023)

Fooling the Image Dehazing Models by First Order Gradient
by: Gui, Jie, et al.
Published: (2023)

Back-in-Time Diffusion: Unsupervised Detection of Medical Deepfakes
by: Grabovski, Fred, et al.
Published: (2024)

Privacy-Preserving Deep Learning Using Deformable Operators for Secure Task Learning
by: Perez, Fabian, et al.
Published: (2024)

Uformer-ICS: A U-Shaped Transformer for Image Compressive Sensing Service
by: Zhang, Kuiyuan, et al.
Published: (2022)

AEDR: Training-Free AI-Generated Image Attribution via Autoencoder Double-Reconstruction
by: Wang, Chao, et al.
Published: (2025)

Synthetic Poisoning Attacks: The Impact of Poisoned MRI Image on U-Net Brain Tumor Segmentation
by: Li, Tianhao, et al.
Published: (2025)

Privacy-Preserving and Trustworthy Deep Learning for Medical Imaging
by: Sedghighadikolaei, Kiarash, et al.
Published: (2024)

DFT-Based Adversarial Attack Detection in MRI Brain Imaging: Enhancing Diagnostic Accuracy in Alzheimer's Case Studies
by: Najafi, Mohammad Hossein, et al.
Published: (2024)

Modeling Deep Learning Based Privacy Attacks on Physical Mail
by: Huang, Bingyao, et al.
Published: (2020)

SuperPure: Efficient Purification of Localized and Distributed Adversarial Patches via Super-Resolution GAN Models
by: Khalili, Hossein, et al.
Published: (2025)

Selective Encryption using Segmentation Mask with Chaotic Henon Map for Multidimensional Medical Images
by: Prakash, S Arut, et al.
Published: (2024)

Unsupervised Network Anomaly Detection with Autoencoders and Traffic Images
by: Neri, Michael, et al.
Published: (2025)

ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification
by: Wang, Xianlong, et al.
Published: (2024)

Precise Liver Tumor Segmentation in CT Using a Hybrid Deep Learning-Radiomics Framework
by: Li, Xuecheng, et al.
Published: (2025)

DIP-Watermark: A Double Identity Protection Method Based on Robust Adversarial Watermark
by: Zhang, Yunming, et al.
Published: (2024)

State-of-the-art optical-based physical adversarial attacks for deep learning computer vision systems
by: Fang, Junbin, et al.
Published: (2023)

Apple's Synthetic Defocus Noise Pattern: Characterization and Forensic Applications
by: Vázquez-Padín, David, et al.
Published: (2025)

Medical Unlearnable Examples: Securing Medical Data from Unauthorized Training via Sparsity-Aware Local Masking
by: Sun, Weixiang, et al.
Published: (2024)

Focus on Texture: Rethinking Pre-training in Masked Autoencoders for Medical Image Classification
by: Madan, Chetan, et al.
Published: (2025)

Towards Effective User Attribution for Latent Diffusion Models via Watermark-Informed Blending
by: Pan, Yongyang, et al.
Published: (2024)

A Baseline Method for Removing Invisible Image Watermarks using Deep Image Prior
by: Liang, Hengyue, et al.
Published: (2025)

Privacy Preserving Image Registration
by: Taiello, Riccardo, et al.
Published: (2022)

Region of Interest Loss for Anonymizing Learned Image Compression
by: Liebender, Christoph, et al.
Published: (2024)

Exploration of Incremental Synthetic Non-Morphed Images for Single Morphing Attack Detection
by: Benavente-Rios, David, et al.
Published: (2025)

Reversible Privacy Preservation using Multi-level Encryption and Compressive Sensing
by: Yamac, Mehmet, et al.
Published: (2019)

Authenticated Contradictions from Desynchronized Provenance and Watermarking
by: Nemecek, Alexander, et al.
Published: (2026)

Individualized Deepfake Detection Exploiting Traces Due to Double Neural-Network Operations
by: Rahman, Mushfiqur, et al.
Published: (2023)

Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning
by: Sami, Hasin Us, et al.
Published: (2025)

A Statistical Method for Attack-Agnostic Adversarial Attack Detection with Compressive Sensing Comparison
by: Wimalasuriya, Chinthana, et al.
Published: (2025)

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach
by: Lan, Shulin, et al.
Published: (2024)

Targeted View-Invariant Adversarial Perturbations for 3D Object Recognition
by: Green, Christian, et al.
Published: (2024)

Deep Learning Techniques for Hand Vein Biometrics: A Comprehensive Review
by: Hemis, Mustapha, et al.
Published: (2024)

MarkCleaner: High-Fidelity Watermark Removal via Imperceptible Micro-Geometric Perturbation
by: Kong, Xiaoxi, et al.
Published: (2026)

Privacy-Aware Detection of Fake Identity Documents: Methodology, Benchmark, and Improved Algorithms (FakeIDet2)
by: Muñoz-Haro, Javier, et al.
Published: (2025)

Explainable AI and susceptibility to adversarial attacks: a case study in classification of breast ultrasound images
by: Rasaee, Hamza, et al.
Published: (2021)