:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Luo, Huaiying, Ji, Cheng
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	https://arxiv.org/abs/2506.18087
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cross-Cloud Data Privacy Protection: Optimizing Collaborative Mechanisms of AI Systems by Integrating Federated Learning and LLMs
by: Luo, Huaiying, et al.
Published: (2025)

Research on Large Language Model Cross-Cloud Privacy Protection and Collaborative Training based on Federated Learning
by: Yang, Ze, et al.
Published: (2025)

A Cutting-Edge Deep Learning Method For Enhancing IoT Security
by: Ansar, Nadia, et al.
Published: (2024)

Federated Large Language Models: Feasibility, Robustness, Security and Future Directions
by: Jiang, Wenhao, et al.
Published: (2025)

Joint Optimization of Prompt Security and System Performance in Edge-Cloud LLM Systems
by: Huang, Haiyang, et al.
Published: (2025)

FedRW: Efficient Privacy-Preserving Data Reweighting for Enhancing Federated Learning of Language Models
by: Ye, Pukang, et al.
Published: (2025)

The Cognitive Firewall:Securing Browser Based AI Agents Against Indirect Prompt Injection Via Hybrid Edge Cloud Defense
by: Lan, Qianlong, et al.
Published: (2026)

A Survey on Data Security in Large Language Models
by: Chen, Kang, et al.
Published: (2025)

Secure Federated Data Distillation
by: Arazzi, Marco, et al.
Published: (2025)

Fuse and Federate: Enhancing EV Charging Station Security with Multimodal Fusion and Federated Learning
by: Rahal, Rabah, et al.
Published: (2025)

Semantic Encryption: Secure and Effective Interaction with Cloud-based Large Language Models via Semantic Transformation
by: Chen, Dong, et al.
Published: (2025)

Human-AI Collaboration in Cloud Security: Cognitive Hierarchy-Driven Deep Reinforcement Learning
by: Aref, Zahra, et al.
Published: (2025)

AI-Driven Security in Cloud Computing: Enhancing Threat Detection, Automated Response, and Cyber Resilience
by: Shaffi, Shamnad Mohamed, et al.
Published: (2025)

CloudLens: Modeling and Detecting Cloud Security Vulnerabilities
by: Kazdagli, Mikhail, et al.
Published: (2024)

SoK: Towards Security and Safety of Edge AI
by: Wingarz, Tatjana, et al.
Published: (2024)

ENSI: Efficient Non-Interactive Secure Inference for Large Language Models
by: He, Zhiyu, et al.
Published: (2025)

AI-Powered Hybrid Intrusion Detection Framework for Cloud Security Using Novel Metaheuristic Optimization
by: Alhusseini, Maryam Mahdi, et al.
Published: (2026)

Enhancing Security and Privacy in Federated Learning using Low-Dimensional Update Representation and Proximity-Based Defense
by: Li, Wenjie, et al.
Published: (2024)

(Security) Assertions by Large Language Models
by: Kande, Rahul, et al.
Published: (2023)

Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models
by: Yu, Sixing, et al.
Published: (2023)

Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications
by: Taiello, Riccardo, et al.
Published: (2024)

Security Document Classification with a Fine-Tuned Local Large Language Model: Benchmark Data and an Open-Source System
by: Dobrovolskyi, Ivan
Published: (2026)

Automating Security Audit Using Large Language Model based Agent: An Exploration Experiment
by: Chin, Jia Hui, et al.
Published: (2025)

Emerging Security Challenges of Large Language Models
by: Debar, Herve, et al.
Published: (2024)

Research on Key Technologies for Cross-Cloud Federated Training of Large Language Models
by: Yang, Haowei, et al.
Published: (2024)

Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models
by: Islam, Nafis Tanveer, et al.
Published: (2024)

Reconstructing Training Data from Adapter-based Federated Large Language Models
by: Chen, Silong, et al.
Published: (2026)

DMind-3: A Sovereign Edge--Local--Cloud AI System with Controlled Deliberation and Correction-Based Tuning for Safe, Low-Latency Transaction Execution
by: Huang, Enhao, et al.
Published: (2026)

Guarding Your Conversations: Privacy Gatekeepers for Secure Interactions with Cloud-Based AI Models
by: Uzor, GodsGift, et al.
Published: (2025)

Security of AI Agents
by: He, Yifeng, et al.
Published: (2024)

Security Concerns for Large Language Models: A Survey
by: Li, Miles Q., et al.
Published: (2025)

FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMs
by: Han, Shanshan, et al.
Published: (2023)

Privacy and Security Implications of Cloud-Based AI Services : A Survey
by: Luqman, Alka, et al.
Published: (2024)

Cloud-Based AI Systems: Leveraging Large Language Models for Intelligent Fault Detection and Autonomous Self-Healing
by: Ji, Cheng, et al.
Published: (2025)

A Data-Centric Approach for Safe and Secure Large Language Models against Threatening and Toxic Content
by: Njeh, Chaima, et al.
Published: (2025)

Research on Enhancing Cloud Computing Network Security using Artificial Intelligence Algorithms
by: Wang, Yuqing, et al.
Published: (2025)

DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models
by: Xu, Honghui, et al.
Published: (2025)

Enhancing Guardrails for Safe and Secure Healthcare AI
by: Gangavarapu, Ananya
Published: (2024)

Enhancing IoT Security with CNN and LSTM-Based Intrusion Detection Systems
by: Gueriani, Afrah, et al.
Published: (2024)

The Security Threat of Compressed Projectors in Large Vision-Language Models
by: Zhang, Yudong, et al.
Published: (2025)