Copertina

MPU: Towards Secure and Privacy-Preserving Knowledge Unlearning for Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Tiantong, Yan, Xinyu, Wu, Tiantong, Hao, Yurong, Xie, Pengjun, Lim, Wei Yang Bryan
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Artificial Intelligence Cryptography and Security Distributed, Parallel, and Cluster Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

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

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

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

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

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

LLMSecCode: Evaluating Large Language Models for Secure Coding
di: Rydén, Anton, et al.
Pubblicazione: (2024)

PPVF: An Efficient Privacy-Preserving Online Video Fetching Framework with Correlated Differential Privacy
di: Zhang, Xianzhi, et al.
Pubblicazione: (2024)

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

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

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

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

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

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

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

FedShield-LLM: A Secure and Scalable Federated Fine-Tuned Large Language Model
di: Mia, Md Jueal, et al.
Pubblicazione: (2025)

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

Zero-Knowledge Proof-Based Consensus for Blockchain-Secured Federated Learning
di: Fu, Tianxing, et al.
Pubblicazione: (2025)

Towards Stronger Blockchains: Security Against Front-Running Attacks
di: Misra, Anshuman, et al.
Pubblicazione: (2023)

Towards a Blockchain-Based CI/CD Framework to Enhance Security in Cloud Environments
di: Saleh, Sabbir M, et al.
Pubblicazione: (2025)

Towards the Unmanned Aerial Vehicle Traffic Management Systems (UTMs): Security Risks and Challenges
di: Spalas, Konstantinos
Pubblicazione: (2024)

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

Secure, Verifiable, and Scalable Multi-Client Data Sharing via Consensus-Based Privacy-Preserving Data Distribution
di: Panth, Prajwal, et al.
Pubblicazione: (2026)

Cloud Security and Security Challenges Revisited
di: Süß, Fabian, et al.
Pubblicazione: (2024)

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

Kumo: A Security-Focused Serverless Cloud Simulator
di: Shao, Wei, et al.
Pubblicazione: (2026)

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

zk-X509: Privacy-Preserving On-Chain Identity from Legacy PKI via Zero-Knowledge Proofs
di: Bak, Yeongju
Pubblicazione: (2026)

Securing LLM-as-a-Service for Small Businesses: An Industry Case Study of a Distributed Chatbot Deployment Platform
di: Xie, Jiazhu, et al.
Pubblicazione: (2026)

SeSeMI: Secure Serverless Model Inference on Sensitive Data
di: Hu, Guoyu, et al.
Pubblicazione: (2024)

Sequencer Level Security
di: Derka, Martin, et al.
Pubblicazione: (2024)

SVAFD: A Secure and Verifiable Co-Aggregation Protocol for Federated Distillation
di: Wen, Tian, et al.
Pubblicazione: (2025)

A Sharded Blockchain-Based Secure Federated Learning Framework for LEO Satellite Networks
di: Wu, Wenbo, et al.
Pubblicazione: (2024)

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

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

Spattack: Subgroup Poisoning Attacks on Federated Recommender Systems
di: Yan, Bo, et al.
Pubblicazione: (2025)

Security and RAS in the Computing Continuum
di: Alonso, Martí, et al.
Pubblicazione: (2024)

Upcycling Noise for Federated Unlearning
di: Chen, Jianan, et al.
Pubblicazione: (2024)

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