Image de couverture de livre

Towards Secure and Private AI: A Framework for Decentralized Inference

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Hongyang, Zhao, Yue, Angione, Claudio, Yang, Harry, Buban, James, Farhan, Ahmad, Johnston, Fielding, Colangelo, Patrick
Format:	Preprint
Publié:	2024
Sujets:	Cryptography and Security Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Model Agnostic Hybrid Sharding For Heterogeneous Distributed Inference
par: Angione, Claudio, et autres
Publié: (2024)

Encrypted Large Model Inference: The Equivariant Encryption Paradigm
par: Buban, James, et autres
Publié: (2025)

Meta-Learning for Speeding Up Large Model Inference in Decentralized Environments
par: Yang, Yuzhe, et autres
Publié: (2024)

Meta-Learning for Speeding Up Large Model Inference in Decentralized Environments
par: Du, Yipeng, et autres
Publié: (2025)

A Survey on Private Transformer Inference
par: Li, Yang, et autres
Publié: (2024)

Towards Adaptive, Learning-Based Security in Decentralized Applications
par: Behfar, Stefan Kambiz, et autres
Publié: (2023)

Private Transformer Inference in MLaaS: A Survey
par: Li, Yang, et autres
Publié: (2025)

Toward a Unified Security Framework for AI Agents: Trust, Risk, and Liability
par: Mo, Jiayun, et autres
Publié: (2025)

A Unified Framework for Human AI Collaboration in Security Operations Centers with Trusted Autonomy
par: Mohsin, Ahmad, et autres
Publié: (2025)

On the (In-)Security of the Shuffling Defense in the Transformer Secure Inference
par: Li, Zhengyi, et autres
Publié: (2026)

SoK: Towards Security and Safety of Edge AI
par: Wingarz, Tatjana, et autres
Publié: (2024)

PADER: Paillier-based Secure Decentralized Social Recommendation
par: Chen, Chaochao, et autres
Publié: (2026)

NetMoniAI: An Agentic AI Framework for Network Security & Monitoring
par: Zambare, Pallavi, et autres
Publié: (2025)

Nimbus: Secure and Efficient Two-Party Inference for Transformers
par: Li, Zhengyi, et autres
Publié: (2024)

Cisco Integrated AI Security and Safety Framework Report
par: Chang, Amy, et autres
Publié: (2025)

AIAuditTrack: A Framework for AI Security system
par: Luo, Zixun, et autres
Publié: (2025)

Exposing Hidden Interfaces: LLM-Guided Type Inference for Reverse Engineering macOS Private Frameworks
par: Kharlamova, Arina, et autres
Publié: (2026)

A First Look At Efficient And Secure On-Device LLM Inference Against KV Leakage
par: Yang, Huan, et autres
Publié: (2024)

SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models
par: Zhang, Jiawen, et autres
Publié: (2025)

STRIDE-AI: A Threat Modeling Framework for Generative AI Security Assessment
par: Cyrille, Tsafac Nkombong Regine, et autres
Publié: (2026)

Security Risks Concerns of Generative AI in the IoT
par: Xu, Honghui, et autres
Publié: (2024)

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity
par: Yan, Guang, et autres
Publié: (2025)

FastQuery: Communication-efficient Embedding Table Query for Private LLM Inference
par: Lin, Chenqi, et autres
Publié: (2024)

A Sophisticated Framework for the Accurate Detection of Phishing Websites
par: Newaz, Asif, et autres
Publié: (2024)

SecureRouter: Encrypted Routing for Efficient Secure Inference
par: Zhang, Yukuan, et autres
Publié: (2026)

A Security Analysis of the OpenClaw AI Agent Framework
par: Suwansathit, Surada, et autres
Publié: (2026)

Breaking Euston: Recovering Private Inputs from Secure Inference by Exploiting Subspace Leakage
par: Zhao, Jiaqi, et autres
Publié: (2026)

Fluent: Round-efficient Secure Aggregation for Private Federated Learning
par: Li, Xincheng, et autres
Publié: (2024)

Poster: ClawdGo: Endogenous Security Awareness Training for Autonomous AI Agents
par: Li, Jiaqi, et autres
Publié: (2026)

Opal: Private Memory for Personal AI
par: Kaviani, Darya, et autres
Publié: (2026)

Privacy-Preserving Decentralized AI with Confidential Computing
par: Lee, Dayeol, et autres
Publié: (2024)

UFO: Unlocking Ultra-Efficient Quantized Private Inference with Protocol and Algorithm Co-Optimization
par: Zeng, Wenxuan, et autres
Publié: (2026)

Privacy and Security Threat for OpenAI GPTs
par: Wenying, Wei, et autres
Publié: (2025)

Serverless AI Security: Attack Surface Analysis and Runtime Protection Mechanisms for FaaS-Based Machine Learning
par: Pathade, Chetan, et autres
Publié: (2026)

VibeGuard: A Security Gate Framework for AI-Generated Code
par: Xie, Ying
Publié: (2026)

Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI Agents
par: Narajala, Vineeth Sai, et autres
Publié: (2025)

Decentralized Federated Learning: A Survey on Security and Privacy
par: Hallaji, Ehsan, et autres
Publié: (2024)

Optimized Layerwise Approximation for Efficient Private Inference on Fully Homomorphic Encryption
par: Lee, Junghyun, et autres
Publié: (2023)

HEQuant: Marrying Homomorphic Encryption and Quantization for Communication-Efficient Private Inference
par: Xu, Tianshi, et autres
Publié: (2024)

Adaptive and Robust Cost-Aware Proof of Quality for Decentralized LLM Inference Networks
par: Tian, Arther, et autres
Publié: (2026)