Image de couverture de livre

AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Amin, Al, Hasan, Kamrul, Ullah, Sharif, Hong, Liang
Format:	Preprint
Publié:	2025
Sujets:	Cryptography and Security Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Privacy-Preserving Federated Vision Transformer Learning Leveraging Lightweight Homomorphic Encryption in Medical AI
par: Amin, Al, et autres
Publié: (2025)

ViT Enhanced Privacy-Preserving Secure Medical Data Sharing and Classification
par: Amin, Al, et autres
Publié: (2024)

Pura: An Efficient Privacy-Preserving Solution for Face Recognition
par: Xu, Guotao, et autres
Publié: (2025)

Privacy-Preserving Iris Recognition: Performance Challenges and Outlook
par: Karakosta, Christina, et autres
Publié: (2026)

Privacy-Preserving Semantic Segmentation without Key Management
par: Hirose, Mare, et autres
Publié: (2026)

Privacy-Preserving and Trustworthy Deep Learning for Medical Imaging
par: Sedghighadikolaei, Kiarash, et autres
Publié: (2024)

Multimodal Privacy-Preserving Entity Resolution with Fully Homomorphic Encryption
par: Roy, Susim, et autres
Publié: (2026)

A Privacy-Preserving Semantic-Segmentation Method Using Domain-Adaptation Technique
par: Sueyoshi, Homare, et autres
Publié: (2025)

Advancing Security in AI Systems: A Novel Approach to Detecting Backdoors in Deep Neural Networks
par: Hossain, Khondoker Murad, et autres
Publié: (2024)

A Key-Driven Framework for Identity-Preserving Face Anonymization
par: Wang, Miaomiao, et autres
Publié: (2024)

Privacy-Preserving Clothing Classification using Vision Transformer for Thermal Comfort Estimation
par: Chuman, Tatsuya, et autres
Publié: (2026)

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

Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation
par: Yang, Yilin, et autres
Publié: (2023)

Blind-Match: Efficient Homomorphic Encryption-Based 1:N Matching for Privacy-Preserving Biometric Identification
par: Choi, Hyunmin, et autres
Publié: (2024)

Privacy-Preserving Deep Learning Using Deformable Operators for Secure Task Learning
par: Perez, Fabian, et autres
Publié: (2024)

Privacy-Preserving Federated Learning with Verifiable Fairness Guarantees
par: Ali, Mohammed Himayath, et autres
Publié: (2026)

Privacy Preserving Properties of Vision Classifiers
par: Suhail, Pirzada, et autres
Publié: (2025)

Secure and Robust Watermarking for AI-generated Images: A Comprehensive Survey
par: Cao, Jie, et autres
Publié: (2025)

Privacy-Preserving Video Anomaly Detection: A Survey
par: Liu, Yang, et autres
Publié: (2024)

PATE-TripleGAN: Privacy-Preserving Image Synthesis with Gaussian Differential Privacy
par: Jiang, Zepeng, et autres
Publié: (2024)

Secure Data Access in Cloud Environments Using Quantum Cryptography
par: Lakshmi, S. Vasavi Venkata, et autres
Publié: (2025)

Machine Learning Security against Data Poisoning: Are We There Yet?
par: Cinà, Antonio Emanuele, et autres
Publié: (2022)

SecureT2I: No More Unauthorized Manipulation on AI Generated Images from Prompts
par: Wu, Xiaodong, et autres
Publié: (2025)

FedPoisonTTP: A Threat Model and Poisoning Attack for Federated Test-Time Personalization
par: Iftee, Md Akil Raihan, et autres
Publié: (2025)

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization
par: Qiu, Yixiang, et autres
Publié: (2025)

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation
par: Chung, Yunsung, et autres
Publié: (2025)

PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models
par: Seo, Kyeongkook, et autres
Publié: (2025)

FakeIDet: Exploring Patches for Privacy-Preserving Fake ID Detection
par: Muñoz-Haro, Javier, et autres
Publié: (2025)

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

SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agents
par: Ying, Zonghao, et autres
Publié: (2025)

Generative Adversarial Networks Applied for Privacy Preservation in Biometric-Based Authentication and Identification
par: Mjachky, Lubos, et autres
Publié: (2025)

NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA
par: Tobaben, Marlon, et autres
Publié: (2024)

GUIGuard-Bench: Toward a General Evaluation for Privacy-Preserving GUI Agents
par: Wang, Yanxi, et autres
Publié: (2026)

Privacy-Preserving Student Learning with Differentially Private Data-Free Distillation
par: Liu, Bochao, et autres
Publié: (2024)

Landscape More Secure Than Portrait? Zooming Into the Directionality of Digital Images With Security Implications
par: Lorch, Benedikt, et autres
Publié: (2024)

Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach
par: Huang, Wenjun, et autres
Publié: (2024)

Privacy-preserving Preselection for Face Identification Based on Packing
par: Xin, Rundong, et autres
Publié: (2025)

Unrecognizable Yet Identifiable: Image Distortion with Preserved Embeddings
par: Zakharov, Dmytro, et autres
Publié: (2024)

RAVID: Retrieval-Augmented Visual Detection: A Knowledge-Driven Approach for AI-Generated Image Identification
par: Keita, Mamadou, et autres
Publié: (2025)

Effective Fine-Tuning of Vision Transformers with Low-Rank Adaptation for Privacy-Preserving Image Classification
par: Lin, Haiwei, et autres
Publié: (2025)