Cover Image

PPVF: An Efficient Privacy-Preserving Online Video Fetching Framework with Correlated Differential Privacy

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Xianzhi, Zhou, Yipeng, Wu, Di, Sheng, Quan Z., Hu, Miao, Xiao, Linchang
Format:	Preprint
Published:	2024
Subjects:	Multimedia Cryptography and Security Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Survey on Privacy-Preserving Caching at Network Edge: Classification, Solutions, and Challenges
by: Zhang, Xianzhi, et al.
Published: (2024)

Steganography -- coding and intercepting the information from encoded pictures in the absence of any initial information
by: Kwiatkowska, Monika, et al.
Published: (2014)

HFIPay: Privacy-Preserving, Cross-Chain Cryptocurrency Payments to Human-Friendly Identifiers
by: Wang, Jian Sheng
Published: (2026)

On Fair Ordering and Differential Privacy
by: Cohen, Shir, et al.
Published: (2025)

Quantum-Inspired Privacy-Preserving Federated Learning Framework for Secure Dementia Classification
by: Tanbhir, Gazi, et al.
Published: (2025)

Privacy-First Crowdsourcing: Blockchain and Local Differential Privacy in Crowdsourced Drone Services
by: Akram, Junaid, et al.
Published: (2024)

Head Count: Privacy-Preserving Face-Based Crowd Monitoring
by: Marzani, Fatemeh, et al.
Published: (2026)

DeZent: Decentralized z-Anonymity with Privacy-Preserving Coordination
by: Brunn, Carolin, et al.
Published: (2026)

Lightweight Federated Learning with Differential Privacy and Straggler Resilience
by: Hong, Shu, et al.
Published: (2024)

Lancelot: Towards Efficient and Privacy-Preserving Byzantine-Robust Federated Learning within Fully Homomorphic Encryption
by: Jiang, Siyang, et al.
Published: (2024)

HHEML: Hybrid Homomorphic Encryption for Privacy-Preserving Machine Learning on Edge
by: Chan, Yu Hin, et al.
Published: (2025)

Privacy-Preserving Data Processing in Cloud : From Homomorphic Encryption to Federated Analytics
by: Sarraf, Gaurav, et al.
Published: (2026)

AegisBlock: A Privacy-Preserving Medical Research Framework using Blockchain
by: Garg, Calkin, et al.
Published: (2025)

Differential Privacy for Secure Machine Learning in Healthcare IoT-Cloud Systems
by: Mangala, N, et al.
Published: (2025)

Communication-Efficient and Privacy-Preserving Decentralized Meta-Learning
by: Yang, Hansi, et al.
Published: (2024)

Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System
by: Madduri, Ravi, et al.
Published: (2024)

SmartphoneDemocracy: Privacy-Preserving E-Voting on Decentralized Infrastructure using Novel European Identity
by: Jóźwik, Michał, et al.
Published: (2025)

Practical Framework for Privacy-Preserving and Byzantine-robust Federated Learning
by: Zhang, Baolei, et al.
Published: (2025)

RollupTheCrowd: Leveraging ZkRollups for a Scalable and Privacy-Preserving Reputation-based Crowdsourcing Platform
by: Bendada, Ahmed Mounsf Rafik, et al.
Published: (2024)

A Hitchhiker's Guide to Privacy-Preserving Digital Payment Systems: A Survey on Anonymity, Confidentiality, and Auditability
by: Nardelli, Matteo, et al.
Published: (2025)

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT
by: Han, Baofu, et al.
Published: (2025)

Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach
by: Quan, Yueyang, et al.
Published: (2025)

Comments on "Federated Learning with Differential Privacy: Algorithms and Performance Analysis"
by: Talaei, Mahtab, et al.
Published: (2024)

IntraShuffler: A Privacy Preserving Framework for Heterogeneous DP Federated Learning
by: Riya, Farhin Farhad, et al.
Published: (2026)

Secure and Privacy-Preserving Vertical Federated Learning
by: Jin, Shan, et al.
Published: (2026)

A Secure and Privacy-Friendly Logging Scheme
by: Aßmuth, Andreas, et al.
Published: (2024)

PhD Forum: Efficient Privacy-Preserving Processing via Memory-Centric Computing
by: Mwaisela, Mpoki
Published: (2024)

No Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning
by: Xing, Zhibo, et al.
Published: (2024)

Health+: Empowering Individuals via Unifying Health Data
by: Maiyya, Sujaya, et al.
Published: (2026)

Homomorphic Encryption in Healthcare Industry Applications for Protecting Data Privacy
by: Rauthan, J. S.
Published: (2025)

On the Tradeoff between Privacy Preservation and Byzantine-Robustness in Decentralized Learning
by: Ye, Haoxiang, et al.
Published: (2023)

An Adaptive Differential Privacy Method Based on Federated Learning
by: Wang, Zhiqiang, et al.
Published: (2024)

Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning
by: Xu, Zhangchen, et al.
Published: (2024)

Differentially Private Federated Learning With Time-Adaptive Privacy Spending
by: Kiani, Shahrzad, et al.
Published: (2025)

Privacy-Preserving IoT in Connected Aircraft Cabin
by: Vyas, Nilesh, et al.
Published: (2025)

Split Learning without Local Weight Sharing to Enhance Client-side Data Privacy
by: Pham, Ngoc Duy, et al.
Published: (2022)

Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning
by: Xhemrishi, Marvin, et al.
Published: (2025)

A Lightweight Federated Learning Approach for Privacy-Preserving Botnet Detection in IoT
by: Mahmoud, Taha M., et al.
Published: (2025)

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning
by: Hosain, Md. Tanzib, et al.
Published: (2025)

PPFPL: Cross-silo Privacy-preserving Federated Prototype Learning Against Data Poisoning Attacks
by: Zhang, Hongliang, et al.
Published: (2025)