Copertina

FHECore: Rethinking GPU Microarchitecture for Fully Homomorphic Encryption

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Daksha, Lohit, Guzelhan, Seyda, Shivdikar, Kaustubh, Domingo, Carlos Agulló, Lopez, Óscar Vera, Jonatan, Gilbert, Dymarkowski, Hubert, Jerari, Aymane El, Cano, José, Abellán, José L., Kim, John, Kaeli, David, Joshi, Ajay
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Hardware Architecture Cryptography and Security
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

FIDESlib: A Fully-Fledged Open-Source FHE Library for Efficient CKKS on GPUs
di: Agulló-Domingo, Carlos, et al.
Pubblicazione: (2025)

GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption
di: Shivdikar, Kaustubh, et al.
Pubblicazione: (2023)

GPU Acceleration of Sparse Fully Homomorphic Encrypted DNNs
di: D'Agata, Lara, et al.
Pubblicazione: (2026)

NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator
di: Shivdikar, Kaustubh, et al.
Pubblicazione: (2024)

Characterizing the Behavior of Training Mamba-based State Space Models on GPUs
di: Baruah, Trinayan, et al.
Pubblicazione: (2025)

Enabling Accelerators for Graph Computing
di: Shivdikar, Kaustubh
Pubblicazione: (2023)

Cheddar: A Swift Fully Homomorphic Encryption Library Designed for GPU Architectures
di: Choi, Wonseok, et al.
Pubblicazione: (2024)

MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training
di: Peng, Hongwu, et al.
Pubblicazione: (2023)

Efficient Quantum Fully Homomorphic Encryption
di: Liu, Fengxia, et al.
Pubblicazione: (2026)

The Beginner's Textbook for Fully Homomorphic Encryption
di: Ko, Ronny
Pubblicazione: (2025)

Energy Consumption of TLS, Searchable Encryption and Fully Homomorphic Encryption
di: Damie, Marc, et al.
Pubblicazione: (2025)

SoK: Fully Homomorphic Encryption Accelerators
di: Zhang, Junxue, et al.
Pubblicazione: (2022)

REED: Chiplet-Based Accelerator for Fully Homomorphic Encryption
di: Aikata, Aikata, et al.
Pubblicazione: (2023)

Arbitrary-Threshold Fully Homomorphic Encryption with Lower Complexity
di: Chang, Yijia, et al.
Pubblicazione: (2025)

Orion: A Fully Homomorphic Encryption Framework for Deep Learning
di: Ebel, Austin, et al.
Pubblicazione: (2023)

Enhancing Privacy in Face Analytics Using Fully Homomorphic Encryption
di: Yalavarthi, Bharat, et al.
Pubblicazione: (2024)

Adapting AlphaEvolve to Optimize Fully Homomorphic Encryption on TPUs
di: Gorantala, Shruthi, et al.
Pubblicazione: (2026)

Practical and Private Hybrid ML Inference with Fully Homomorphic Encryption
di: Biswas, Sayan, et al.
Pubblicazione: (2025)

ILA: Correctness via Type Checking for Fully Homomorphic Encryption
di: Gollamudi, Tarakaram, et al.
Pubblicazione: (2025)

BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption
di: Gronberg, Evan, et al.
Pubblicazione: (2025)

Osiris: A Systolic Approach to Accelerating Fully Homomorphic Encryption
di: Ebel, Austin, et al.
Pubblicazione: (2024)

Confidential and Protected Disease Classifier using Fully Homomorphic Encryption
di: Malik, Aditya, et al.
Pubblicazione: (2024)

CHEHAB RL: Learning to Optimize Fully Homomorphic Encryption Computations
di: Sefsaf, Bilel, et al.
Pubblicazione: (2026)

Multimodal Privacy-Preserving Entity Resolution with Fully Homomorphic Encryption
di: Roy, Susim, et al.
Pubblicazione: (2026)

Leveraging Photonic Interconnects for Scalable and Efficient Fully Homomorphic Encryption
di: Saiham, Dewan, et al.
Pubblicazione: (2025)

Dataflow-Oriented Classification and Performance Analysis of GPU-Accelerated Homomorphic Encryption
di: Nozaki, Ai, et al.
Pubblicazione: (2026)

Outsourced Privacy-Preserving Feature Selection Based on Fully Homomorphic Encryption
di: Wakiyama, Koki, et al.
Pubblicazione: (2025)

A Scalable Architecture for Efficient Multi-bit Fully Homomorphic Encryption
di: Ma, Jiaao, et al.
Pubblicazione: (2025)

Optimized Layerwise Approximation for Efficient Private Inference on Fully Homomorphic Encryption
di: Lee, Junghyun, et al.
Pubblicazione: (2023)

Introducing GRAFHEN: Group-based Fully Homomorphic Encryption without Noise
di: Guillot, Pierre, et al.
Pubblicazione: (2025)

Oblivious Monitoring for Discrete-Time STL via Fully Homomorphic Encryption
di: Waga, Masaki, et al.
Pubblicazione: (2024)

FLASH-FHE: A Heterogeneous Architecture for Fully Homomorphic Encryption Acceleration
di: Zhang, Junxue, et al.
Pubblicazione: (2025)

Reliability Analysis of Fully Homomorphic Encryption Systems Under Memory Faults
di: Rajagede, Rian Adam, et al.
Pubblicazione: (2025)

AMB-FHE: Adaptive Multi-biometric Fusion with Fully Homomorphic Encryption
di: Bayer, Florian, et al.
Pubblicazione: (2025)

Practical, Private Assurance of the Value of Collaboration via Fully Homomorphic Encryption
di: Asghar, Hassan Jameel, et al.
Pubblicazione: (2023)

Understanding the Resource Cost of Fully Homomorphic Encryption in Quantum Federated Learning
di: Böhm, Lukas, et al.
Pubblicazione: (2026)

Inhibitor Transformers and Gated RNNs for Torus Efficient Fully Homomorphic Encryption
di: Brännvall, Rickard, et al.
Pubblicazione: (2023)

CryptOracle: A Modular Framework to Characterize Fully Homomorphic Encryption
di: Brynds, Cory, et al.
Pubblicazione: (2025)

Compile-Time Fully Homomorphic Encryption of Vectors: Eliminating Online Encryption via Algebraic Basis Synthesis
di: Zhao, Dongfang
Pubblicazione: (2025)

Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs
di: Ferguson, Aidan, et al.
Pubblicazione: (2025)