Cover Image

Privacy-Preserving Federated Vision Transformer Learning Leveraging Lightweight Homomorphic Encryption in Medical AI

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Amin, Al, Hasan, Kamrul, Hong, Liang, Ullah, Sharif
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach
by: Amin, Al, et al.
Published: (2025)

ViT Enhanced Privacy-Preserving Secure Medical Data Sharing and Classification
by: Amin, Al, et al.
Published: (2024)

Multimodal Privacy-Preserving Entity Resolution with Fully Homomorphic Encryption
by: Roy, Susim, et al.
Published: (2026)

Blind-Match: Efficient Homomorphic Encryption-Based 1:N Matching for Privacy-Preserving Biometric Identification
by: Choi, Hyunmin, et al.
Published: (2024)

Enhancing Privacy in Face Analytics Using Fully Homomorphic Encryption
by: Yalavarthi, Bharat, et al.
Published: (2024)

MedBlindTuner: Towards Privacy-preserving Fine-tuning on Biomedical Images with Transformers and Fully Homomorphic Encryption
by: Panzade, Prajwal, et al.
Published: (2024)

Privacy-Preserving Clothing Classification using Vision Transformer for Thermal Comfort Estimation
by: Chuman, Tatsuya, et al.
Published: (2026)

AMB-FHE: Adaptive Multi-biometric Fusion with Fully Homomorphic Encryption
by: Bayer, Florian, et al.
Published: (2025)

Privacy-Preserving Federated Learning with Verifiable Fairness Guarantees
by: Ali, Mohammed Himayath, et al.
Published: (2026)

Efficient Privacy-Preserving Cross-Silo Federated Learning with Multi-Key Homomorphic Encryption
by: Omar, Abdullah Al, et al.
Published: (2025)

PRISM: Privacy-preserving Inference System with Homomorphic Encryption and Modular Activation
by: Elkhatib, Zeinab, et al.
Published: (2025)

Privacy Preserving Properties of Vision Classifiers
by: Suhail, Pirzada, et al.
Published: (2025)

Pura: An Efficient Privacy-Preserving Solution for Face Recognition
by: Xu, Guotao, et al.
Published: (2025)

Towards Privacy-Preserving Federated Learning using Hybrid Homomorphic Encryption
by: Costa, Ivan, et al.
Published: (2026)

Efficient and Privacy-Preserving Federated Learning based on Full Homomorphic Encryption
by: Guo, Yuqi, et al.
Published: (2024)

Lightweight True In-Pixel Encryption with FeFET Enabled Pixel Design for Secure Imaging
by: Udoy, Md Rahatul Islam, et al.
Published: (2026)

Effective Fine-Tuning of Vision Transformers with Low-Rank Adaptation for Privacy-Preserving Image Classification
by: Lin, Haiwei, et al.
Published: (2025)

NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA
by: Tobaben, Marlon, et al.
Published: (2024)

Secure Multi-Key Homomorphic Encryption with Application to Privacy-Preserving Federated Learning
by: Wu, Jiahui, et al.
Published: (2025)

Encrypted Vector Similarity Computations Using Partially Homomorphic Encryption: Applications and Performance Analysis
by: Serengil, Sefik, et al.
Published: (2025)

Leveraging Membership Inference Attacks for Privacy Measurement in Federated Learning for Remote Sensing Images
by: Duong, Anh-Kiet, et al.
Published: (2026)

Privacy-Preserving Iris Recognition: Performance Challenges and Outlook
by: Karakosta, Christina, et al.
Published: (2026)

Privacy-Preserving Semantic Segmentation without Key Management
by: Hirose, Mare, et al.
Published: (2026)

PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models
by: Seo, Kyeongkook, et al.
Published: (2025)

CipherFace: A Fully Homomorphic Encryption-Driven Framework for Secure Cloud-Based Facial Recognition
by: Serengil, Sefik, et al.
Published: (2025)

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review
by: Sun, Mengyu, et al.
Published: (2025)

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

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

FedPoisonTTP: A Threat Model and Poisoning Attack for Federated Test-Time Personalization
by: Iftee, Md Akil Raihan, et al.
Published: (2025)

A Privacy-Preserving Semantic-Segmentation Method Using Domain-Adaptation Technique
by: Sueyoshi, Homare, et al.
Published: (2025)

A Lightweight and Effective Image Tampering Localization Network with Vision Mamba
by: Guo, Kun, et al.
Published: (2025)

A Privacy-Preserving Federated Learning Method with Homomorphic Encryption in Omics Data
by: Negoya, Yusaku, et al.
Published: (2025)

PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning
by: Hussein, Noor, et al.
Published: (2024)

PASTA: A Patch-Agnostic Twofold-Stealthy Backdoor Attack on Vision Transformers
by: Liu, Dazhuang, et al.
Published: (2026)

Blockchain-Integrated Privacy-Preserving Medical Insurance Claim Processing Using Homomorphic Encryption
by: Mamoria, Diya, et al.
Published: (2025)

Volley Revolver: A Novel Matrix-Encoding Method for Privacy-Preserving Neural Networks (Inference)
by: Chiang, John
Published: (2022)

Backdoor Directions in Vision Transformers
by: Karayalcin, Sengim, et al.
Published: (2026)

Decentralized Privacy-Preserving Federal Learning of Computer Vision Models on Edge Devices
by: Harenčák, Damian, et al.
Published: (2026)

LiteUpdate: A Lightweight Framework for Updating AI-Generated Image Detectors
by: Lu, Jiajie, et al.
Published: (2025)

Privacy-Preserving CNN Training with Transfer Learning: Multiclass Logistic Regression
by: Chiang, John
Published: (2023)