Copertina

Privacy-Preserving AI-Enabled Decentralized Learning and Employment Records System

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Xu, Yuqiao, Namazi, Mina, Jalapally, Sahith Reddy, Zafar, Osama, Yoo, Youngjin, Ayday, Erman
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Cryptography and Security Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A User-Centric, Privacy-Preserving, and Verifiable Ecosystem for Personal Data Management and Utilization
di: Zafar, Osama, et al.
Pubblicazione: (2025)

Empowering Digital Agriculture: A Privacy-Preserving Framework for Data Sharing and Collaborative Research
di: Zafar, Osama, et al.
Pubblicazione: (2025)

The End of Trust: How Agentic AI Breaks Security Assumptions
di: Zafar, Osama, et al.
Pubblicazione: (2026)

ZKPROV: A Zero-Knowledge Approach to Dataset Provenance for Large Language Models
di: Namazi, Mina, et al.
Pubblicazione: (2025)

Who Gets Flagged? The Pluralistic Evaluation Gap in AI Content Watermarking
di: Nemecek, Alexander, et al.
Pubblicazione: (2026)

Privacy-Preserving Optimal Parameter Selection for Collaborative Clustering
di: Ghasemian, Maryam, et al.
Pubblicazione: (2024)

Neighborhood Blending: A Lightweight Inference-Time Defense Against Membership Inference Attacks
di: Zafar, Osama, et al.
Pubblicazione: (2026)

Privacy-Preserving Data Linkage Across Private and Public Datasets for Collaborative Agriculture Research
di: Zafar, Osama, et al.
Pubblicazione: (2024)

PROVGEN: A Privacy-Preserving Approach for Outcome Validation in Genomic Research
di: Jiang, Yuzhou, et al.
Pubblicazione: (2022)

Privacy Policy Enforcement Guardrails for Data-Sensitive Retrieval-Augmented Generation
di: Zafar, Osama, et al.
Pubblicazione: (2026)

The Feasibility of Topic-Based Watermarking on Academic Peer Reviews
di: Nemecek, Alexander, et al.
Pubblicazione: (2025)

Watermarking Without Standards Is Not AI Governance
di: Nemecek, Alexander, et al.
Pubblicazione: (2025)

Privacy-Preserving Decentralized AI with Confidential Computing
di: Lee, Dayeol, et al.
Pubblicazione: (2024)

Decentralized AI-driven IoT Architecture for Privacy-Preserving and Latency-Optimized Healthcare in Pandemic and Critical Care Scenarios
di: Sammangi, Harsha, et al.
Pubblicazione: (2025)

Validating GWAS Findings through Reverse Engineering of Contingency Tables
di: Jiang, Yuzhou, et al.
Pubblicazione: (2024)

Privacy-Preserving, Dropout-Resilient Aggregation in Decentralized Learning
di: Ghavamipour, Ali Reza, et al.
Pubblicazione: (2024)

Privacy-Preserving Aggregation for Decentralized Learning with Byzantine-Robustness
di: Ghavamipour, Ali Reza, et al.
Pubblicazione: (2024)

Digital Agriculture Sandbox for Collaborative Research
di: Zafar, Osama, et al.
Pubblicazione: (2025)

Privacy-Preserving Decentralized Federated Learning via Explainable Adaptive Differential Privacy
di: Piran, Fardin Jalil, et al.
Pubblicazione: (2025)

Cluster-Aware Attacks on Graph Watermarks
di: Nemecek, Alexander, et al.
Pubblicazione: (2025)

Smart Privacy Policy Assistant: An LLM-Powered System for Transparent and Actionable Privacy Notices
di: Kalvakuntla, Sriharshini, et al.
Pubblicazione: (2026)

AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models
di: Oksuz, Abdullah Caglar, et al.
Pubblicazione: (2023)

Privacy-Preserving Collaborative Genomic Research: A Real-Life Deployment and Vision
di: Rahmani, Zahra, et al.
Pubblicazione: (2024)

Exploring Membership Inference Vulnerabilities in Clinical Large Language Models
di: Nemecek, Alexander, et al.
Pubblicazione: (2025)

Quantifying Memorization and Privacy Risks in Genomic Language Models
di: Nemecek, Alexander, et al.
Pubblicazione: (2026)

Federated Learning Based Decentralized Adaptive Intelligent Transmission Protocol for Privacy Preserving 6G Networks
di: Ahmed, Ansar
Pubblicazione: (2025)

Privacy Preservation in Gen AI Applications
di: S, Swetha, et al.
Pubblicazione: (2025)

Blockchain-Enabled Decentralized Privacy-Preserving Group Purchasing for Energy Plans
di: Chau, Sid Chi-Kin, et al.
Pubblicazione: (2025)

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings
di: Oksuz, Abdullah Caglar, et al.
Pubblicazione: (2026)

Noiseless Privacy-Preserving Decentralized Learning
di: Biswas, Sayan, et al.
Pubblicazione: (2024)

FL-DECO-BC: A Privacy-Preserving, Provably Secure, and Provenance-Preserving Federated Learning Framework with Decentralized Oracles on Blockchain for VANETs
di: Narkedimilli, Sathwik, et al.
Pubblicazione: (2024)

PassREfinder-FL: Privacy-Preserving Credential Stuffing Risk Prediction via Graph-Based Federated Learning for Representing Password Reuse between Websites
di: Kim, Jaehan, et al.
Pubblicazione: (2025)

Decentralized and Robust Privacy-Preserving Model Using Blockchain-Enabled Federated Deep Learning in Intelligent Enterprises
di: Fotohi, Reza, et al.
Pubblicazione: (2025)

Topic-Based Watermarks for Large Language Models
di: Nemecek, Alexander, et al.
Pubblicazione: (2024)

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning
di: Xu, Runhua, et al.
Pubblicazione: (2025)

Privacy-Preserving Screening for Record Linkage
di: Huang, Chenyu, et al.
Pubblicazione: (2026)

Privacy Preservation and Identity Tracing Prevention in AI-Driven Eye Tracking for Interactive Learning Environments
di: Rehman, Abdul, et al.
Pubblicazione: (2025)

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives
di: Zeng, Wenxuan, et al.
Pubblicazione: (2025)

Deciphering the Interplay between Attack and Protection Complexity in Privacy-Preserving Federated Learning
di: Zhang, Xiaojin, et al.
Pubblicazione: (2025)

Privacy-Preserving in Blockchain-based Federated Learning Systems
di: M., Sameera K., et al.
Pubblicazione: (2024)