Image de couverture de livre

Privacy Preserving Machine Learning for Electronic Health Records using Federated Learning and Differential Privacy

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ganadily, Naif A., Xia, Han J.
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Cryptography and Security Emerging Technologies
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Differentially Private Blockchain-Based Approach for Vertical Federated Learning
par: Tran, Linh, et autres
Publié: (2024)

Differential Privacy of Quantum and Quantum-Inspired Classical Recommendation Algorithms
par: Li, Chenjian, et autres
Publié: (2025)

Empirical Analysis of Privacy-Fairness-Accuracy Trade-offs in Federated Learning: A Step Towards Responsible AI
par: Wasif, Dawood, et autres
Publié: (2025)

PrivacyCube: Data Physicalization for Enhancing Privacy Awareness in IoT
par: Muhander, Bayan Al, et autres
Publié: (2024)

Device-Native Autonomous Agents for Privacy-Preserving Negotiations
par: Roy, Joyjit, et autres
Publié: (2026)

Privacy and Security of Women's Reproductive Health Apps in a Changing Legal Landscape
par: Saini, Shalini, et autres
Publié: (2024)

Blockchain in Healthcare: Implementing Hyperledger Fabric for Electronic Health Records at Frere Provincial Hospital
par: Agbeyangi, Abayomi, et autres
Publié: (2024)

Quantum Privacy-Preserving Price E-Negotiation
par: Liu, Wen-Jie, et autres
Publié: (2023)

Emerging Paradigms for Securing Federated Learning Systems
par: Abouelmagd, Amr Akmal, et autres
Publié: (2025)

The Dilemma of Privacy Protection for Developers in the Metaverse
par: Rahartomo, Argianto, et autres
Publié: (2025)

Decentralized Identity in Practice: Benchmarking Latency, Cost, and Privacy
par: Satybaldy, Abylay, et autres
Publié: (2026)

The Quantum Imitation Game: Reverse Engineering of Quantum Machine Learning Models
par: Ghosh, Archisman, et autres
Publié: (2024)

Security and Privacy of 6G Federated Learning-enabled Dynamic Spectrum Sharing
par: Vo, Viet, et autres
Publié: (2024)

PriviFy: Designing Tangible Interfaces for Configuring IoT Privacy Preferences
par: Muhander, Bayan Al, et autres
Publié: (2024)

BLINDSPOT: Enabling Bystander-Controlled Privacy Signaling for Camera-Enabled Devices
par: Aaraj, Jad Al, et autres
Publié: (2025)

PlanTwin: Privacy-Preserving Planning Abstractions for Cloud-Assisted LLM Agents
par: Yu, Guangsheng, et autres
Publié: (2026)

MetaFed: Advancing Privacy, Performance, and Sustainability in Federated Metaverse Systems
par: Yagiz, Muhammet Anil, et autres
Publié: (2025)

Quantum-Resilient Privacy Ledger (QRPL): A Sovereign Digital Currency for the Post-Quantum Era
par: Bahar, Serhan W.
Publié: (2025)

A Survey of Blockchain-Based Privacy Applications: An Analysis of Consent Management and Self-Sovereign Identity Approaches
par: Garcia, Rodrigo Dutra, et autres
Publié: (2024)

Nonideality-aware training makes memristive networks more robust to adversarial attacks
par: Joksas, Dovydas, et autres
Publié: (2024)

Profiling Electric Vehicles via Early Charging Voltage Patterns
par: Marchiori, Francesco, et autres
Publié: (2025)

Quantum Autoencoders for Anomaly Detection in Cybersecurity
par: Senthil, Rohan, et autres
Publié: (2025)

SILS: Strategic Influence on Liquidity Stability and Whale Detection in Concentrated-Liquidity DEXs
par: RajabiNekoo, Ali, et autres
Publié: (2025)

MalVol-25: A Diverse, Labelled and Detailed Volatile Memory Dataset for Malware Detection and Response Testing and Validation
par: Dunsin, Dipo, et autres
Publié: (2025)

Robust Anomaly Detection in O-RAN: Leveraging LLMs against Data Manipulation Attacks
par: Dayaratne, Thusitha, et autres
Publié: (2025)

Systems-Theoretic and Data-Driven Security Analysis in ML-enabled Medical Devices
par: Mitra, Gargi, et autres
Publié: (2025)

Selfie-Capture Dynamics as an Auxiliary Signal Against Deepfakes and Injection Attacks for Mobile Identity Verification
par: Rantahalvari, Erkka, et autres
Publié: (2026)

Self-Sovereign Identity for Consented and Content-Based Access to Medical Records using Blockchain
par: Tcholakian, Marie, et autres
Publié: (2024)

Usenix'23 Extended Version: Smart Learning to Find Dumb Contracts
par: Abdelaziz, Tamer, et autres
Publié: (2023)

PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud
par: Wang, Zhepeng, et autres
Publié: (2024)

Willchain: Decentralized, Privacy-Preserving, Self-Executing, Digital Wills
par: PHarr, Jovonni L.
Publié: (2025)

A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions
par: Aouedi, Ons, et autres
Publié: (2024)

AutoDFL: A Scalable and Automated Reputation-Aware Decentralized Federated Learning
par: Dif, Meryem Malak, et autres
Publié: (2025)

VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning
par: Bellachia, Ahmed Ayoub, et autres
Publié: (2025)

Agentic Witnessing: Pragmatic and Scalable TEE-Enabled Privacy-Preserving Auditing
par: Rowstron, Antony
Publié: (2026)

Decoding User Concerns in AI Health Chatbots: An Exploration of Security and Privacy in App Reviews
par: Hassan, Muhammad, et autres
Publié: (2025)

Enhanced Smart Contract Reputability Analysis using Multimodal Data Fusion on Ethereum
par: Malik, Cyrus, et autres
Publié: (2025)

Generative Blockchain: Transforming Blockchain from Transaction Recording to Transaction Generation through Proof-of-Merit
par: Zhang, Haozhao, et autres
Publié: (2024)

\texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party
par: Rahimi, Ali, et autres
Publié: (2025)

Quantum Privacy-preserving Two-party Circle Intersection Protocol Based on Phase-encoded Query
par: Li, Zi-Xian, et autres
Publié: (2023)