Copertina

ENSI: Efficient Non-Interactive Secure Inference for Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	He, Zhiyu, Wang, Maojiang, Gao, Xinwen, Luo, Yuchuan, Liu, Lin, Fu, Shaojing
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Cryptography and Security Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

RAS-Eval: A Comprehensive Benchmark for Security Evaluation of LLM Agents in Real-World Environments
di: Fu, Yuchuan, et al.
Pubblicazione: (2025)

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

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

ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models
di: Liu, Xuxu, et al.
Pubblicazione: (2025)

SecureRouter: Encrypted Routing for Efficient Secure Inference
di: Zhang, Yukuan, et al.
Pubblicazione: (2026)

Large Language Models for Cyber Security: A Systematic Literature Review
di: Xu, Hanxiang, et al.
Pubblicazione: (2024)

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

Nimbus: Secure and Efficient Two-Party Inference for Transformers
di: Li, Zhengyi, et al.
Pubblicazione: (2024)

Reverse-Engineering Model Editing on Language Models
di: Sun, Zhiyu, et al.
Pubblicazione: (2026)

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

On the (In-)Security of the Shuffling Defense in the Transformer Secure Inference
di: Li, Zhengyi, et al.
Pubblicazione: (2026)

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

The Dark Side of Function Calling: Pathways to Jailbreaking Large Language Models
di: Wu, Zihui, et al.
Pubblicazione: (2024)

Memory-Efficient and Secure DNN Inference on TrustZone-enabled Consumer IoT Devices
di: Xie, Xueshuo, et al.
Pubblicazione: (2024)

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models
di: Luo, Huaiying, et al.
Pubblicazione: (2025)

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

SoK: Taxonomy and Evaluation of Prompt Security in Large Language Models
di: Hong, Hanbin, et al.
Pubblicazione: (2025)

SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model
di: Liang, Xun, et al.
Pubblicazione: (2025)

A First Look At Efficient And Secure On-Device LLM Inference Against KV Leakage
di: Yang, Huan, et al.
Pubblicazione: (2024)

Membership Inference Attacks on Tokenizers of Large Language Models
di: Tong, Meng, et al.
Pubblicazione: (2025)

SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models
di: Zhang, Jiawen, et al.
Pubblicazione: (2025)

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity
di: Yan, Guang, et al.
Pubblicazione: (2025)

Hallucination-Resistant Security Planning with a Large Language Model
di: Hammar, Kim, et al.
Pubblicazione: (2026)

Differentially Private and Communication Efficient Large Language Model Split Inference via Stochastic Quantization and Soft Prompt
di: Gu, Yujie, et al.
Pubblicazione: (2026)

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

Towards Effective Complementary Security Analysis using Large Language Models
di: Wagner, Jonas, et al.
Pubblicazione: (2025)

Safety Layers in Aligned Large Language Models: The Key to LLM Security
di: Li, Shen, et al.
Pubblicazione: (2024)

Large Language Models for Security Operations Centers: A Comprehensive Survey
di: Habibzadeh, Ali, et al.
Pubblicazione: (2025)

A Survey: Towards Privacy and Security in Mobile Large Language Models
di: Xu, Honghui, et al.
Pubblicazione: (2025)

Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference
di: Lam, Maximilian, et al.
Pubblicazione: (2022)

CodeBC: A More Secure Large Language Model for Smart Contract Code Generation in Blockchain
di: Wang, Lingxiang, et al.
Pubblicazione: (2025)

IntelliSA: An Intelligent Static Analyzer for IaC Security Smell Detection Using Symbolic Rules and Neural Inference
di: Mei, Qiyue, et al.
Pubblicazione: (2026)

DERMARK: A Dynamic, Efficient and Robust Multi-bit Watermark for Large Language Models
di: Lin, Qihao, et al.
Pubblicazione: (2025)

BitHydra: Towards Bit-flip Inference Cost Attack against Large Language Models
di: Yan, Xiaobei, et al.
Pubblicazione: (2025)

Empirical Study of Code Large Language Models for Binary Security Patch Detection
di: Li, Qingyuan, et al.
Pubblicazione: (2025)

Q-MLLM: Vector Quantization for Robust Multimodal Large Language Model Security
di: Zhao, Wei, et al.
Pubblicazione: (2025)

Blockchain Data Analysis in the Era of Large-Language Models
di: Toyoda, Kentaroh, et al.
Pubblicazione: (2024)

PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration
di: Zeng, Ziqian, et al.
Pubblicazione: (2024)