Imagen de Portada

Nimbus: Secure and Efficient Two-Party Inference for Transformers

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Zhengyi, Yang, Kang, Tan, Jin, Lu, Wen-jie, Wu, Haoqi, Wang, Xiao, Yu, Yu, Zhao, Derun, Zheng, Yancheng, Guo, Minyi, Leng, Jingwen
Formato:	Preprint
Publicado:	2024
Materias:	Cryptography and Security Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

PUMA: Secure Inference of LLaMA-7B in Five Minutes
por: Dong, Ye, et al.
Publicado: (2023)

An Efficient Private GPT Never Autoregressively Decodes
por: Li, Zhengyi, et al.
Publicado: (2025)

Ditto: Quantization-aware Secure Inference of Transformers upon MPC
por: Wu, Haoqi, et al.
Publicado: (2024)

Secure and Efficient $L^p$-Norm Computation for Two-Party Learning Applications
por: Arastehfard, Ali, et al.
Publicado: (2025)

Breaking the Layer Barrier: Remodeling Private Transformer Inference with Hybrid CKKS and MPC
por: Xu, Tianshi, et al.
Publicado: (2025)

Efficient and High-Accuracy Secure Two-Party Protocols for a Class of Functions with Real-number Inputs
por: Guo, Hao, et al.
Publicado: (2025)

CipherPrune: Efficient and Scalable Private Transformer Inference
por: Zhang, Yancheng, et al.
Publicado: (2025)

An Efficient and Secure Arbitrary N-Party Quantum Key Agreement Protocol Using Bell States
por: Liu, Wen-Jie, et al.
Publicado: (2023)

EVA-S3PC: Efficient, Verifiable, Accurate Secure Matrix Multiplication Protocol Assembly and Its Application in Regression
por: Peng, Shizhao, et al.
Publicado: (2024)

Privacy-Preserving Quantum Two-Party Geometric Intersection
por: Liu, Wen-Jie, et al.
Publicado: (2023)

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation
por: Peng, Shizhao, et al.
Publicado: (2025)

Bifrost: A Much Simpler Secure Two-Party Data Join Protocol for Secure Data Analytics
por: Chen, Shuyu, et al.
Publicado: (2026)

Experimental Examination of Secure Two-Party Controller Computation
por: Teranishi, Kaoru, et al.
Publicado: (2026)

Efficient Multi-Party Secure Comparison over Different Domains with Preprocessing Assistance
por: Wang, Kaiwen, et al.
Publicado: (2026)

Client-Aided Secure Two-Party Computation of Dynamic Controllers
por: Teranishi, Kaoru, et al.
Publicado: (2025)

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

Byzantine-Secure Relying Party for Resilient RPKI
por: Friess, Jens, et al.
Publicado: (2024)

OPAF: Optimized Secure Two-Party Computation Protocols for Nonlinear Activation Functions in Recurrent Neural Network
por: Feng, Qian, et al.
Publicado: (2024)

PraxiMLP: A Threshold-based Framework for Efficient Three-Party MLP with Practical Security
por: Tao, Tianle, et al.
Publicado: (2025)

CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference
por: Dong, Benchang, et al.
Publicado: (2024)

On the Communication Complexity of Secure Multi-Party Computation With Aborts
por: Bartusek, James, et al.
Publicado: (2024)

Applications of Secure Multi-Party Computation in Financial Services
por: Sedraoui, Brahim Khalil, et al.
Publicado: (2026)

Breaking Free: Efficient Multi-Party Private Set Union Without Non-Collusion Assumptions
por: Dong, Minglang, et al.
Publicado: (2024)

Measuring the Security of Mobile LLM Agents under Adversarial Prompts from Untrusted Third-Party Channels
por: Du, Chenghao, et al.
Publicado: (2025)

Secure Transformer Inference Protocol
por: Yuan, Mu, et al.
Publicado: (2023)

Blockchain-Enhanced Framework for Secure Third-Party Vendor Risk Management and Vigilant Security Controls
por: Gupta, Deepti, et al.
Publicado: (2024)

SecDTD: Dynamic Token Drop for Secure Transformers Inference
por: Cai, Yifei, et al.
Publicado: (2026)

A Review and Comparison of AI Enhanced Side Channel Analysis
por: Panoff, Max, et al.
Publicado: (2024)

Prompt Inference Attack on Distributed Large Language Model Inference Frameworks
por: Luo, Xinjian, et al.
Publicado: (2025)

SPOILER: TEE-Shielded DNN Partitioning of On-Device Secure Inference with Poison Learning
por: Kang, Donghwa, et al.
Publicado: (2026)

Multi-Party Private Set Intersection: A Circuit-Based Protocol with Jaccard Similarity for Secure and Efficient Anomaly Detection in Network Traffic
por: Su, Jiuheng, et al.
Publicado: (2024)

EncFormer: Secure and Efficient Transformer Inference over Encrypted Data
por: Zhu, Yufan, et al.
Publicado: (2026)

Efficient and High-Accuracy Private CNN Inference with Helper-Assisted Malicious Security
por: Wang, Kaiwen, et al.
Publicado: (2025)

Multi-Party Private Set Operations from Predicative Zero-Sharing
por: Dong, Minglang, et al.
Publicado: (2025)

Bicoptor: Two-round Secure Three-party Non-linear Computation without Preprocessing for Privacy-preserving Machine Learning
por: Zhou, Lijing, et al.
Publicado: (2022)

MPCache: MPC-Friendly KV Cache Eviction for Efficient Private LLM Inference
por: Zeng, Wenxuan, et al.
Publicado: (2025)

CipherFormer: Efficient Transformer Private Inference with Low Round Complexity
por: Wang, Weize, et al.
Publicado: (2024)

Tracking GPTs Third Party Service: Automation, Analysis, and Insights
por: Yan, Chuan, et al.
Publicado: (2025)

Starfish: Rebalancing Multi-Party Off-Chain Payment Channels
por: Xu, Minghui, et al.
Publicado: (2025)