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MP-SPDZ: A Versatile Framework for Multi-Party Computation

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11889663_10openalex-snapshot

A Practical Implementation of Secure Auctions Based on Multiparty Integer Computation

inferredcites →https://doi.org/10.1007/978-3-030-56880-1_29openalex-snapshot

Improved Primitives for MPC over Mixed Arithmetic-Binary Circuits

inferredcites →https://doi.org/10.1007/978-3-319-45741-3_5openalex-snapshot

Compiling Low Depth Circuits for Practical Secure Computation

inferredcites →https://doi.org/10.1007/978-3-319-56614-6_8openalex-snapshot

High-Throughput Secure Three-Party Computation for Malicious Adversaries and an Honest Majority

inferredcites →https://doi.org/10.1007/978-3-319-70694-8_21openalex-snapshot

Low Cost Constant Round MPC Combining BMR and Oblivious Transfer

inferredcites →https://doi.org/10.1007/978-3-319-78372-7_4openalex-snapshot

Efficient Maliciously Secure Multiparty Computation for RAM

inferredcites →https://doi.org/10.1007/978-3-540-30576-7_19openalex-snapshot

Share Conversion, Pseudorandom Secret-Sharing and Applications to Secure Computation

inferredcites →https://doi.org/10.1007/978-3-642-32009-5_38openalex-snapshot

Multiparty Computation from Somewhat Homomorphic Encryption

inferredcites →https://doi.org/10.1007/978-3-642-32009-5_40openalex-snapshot

A New Approach to Practical Active-Secure Two-Party Computation

inferredcites →https://doi.org/10.1007/978-3-662-47989-6_35openalex-snapshot

Actively Secure OT Extension with Optimal Overhead

inferredcites →https://doi.org/10.1007/978-3-662-48797-6_29openalex-snapshot

A Unified Approach to MPC with Preprocessing Using OT

inferredcites →https://doi.org/10.1109/sp.2013.39openalex-snapshot

Efficient Garbling from a Fixed-Key Blockcipher

inferredcites →https://doi.org/10.1109/sp.2014.48openalex-snapshot

Wysteria: A Programming Language for Generic, Mixed-Mode Multiparty Computations

inferredcites →https://doi.org/10.1145/2090236.2090262openalex-snapshot

(Leveled) fully homomorphic encryption without bootstrapping

inferredcites →https://doi.org/10.1145/2508859.2516660openalex-snapshot

Path ORAM

inferredcites →https://doi.org/10.1145/2508859.2516752openalex-snapshot

PICCO

inferredcites →https://doi.org/10.1145/2976749.2978331openalex-snapshot

High-Throughput Semi-Honest Secure Three-Party Computation with an Honest Majority

inferredcites →https://doi.org/10.1145/2976749.2978357openalex-snapshot

MASCOT

inferredcites →https://doi.org/10.1145/3133956.3133999openalex-snapshot

A Framework for Constructing Fast MPC over Arithmetic Circuits with Malicious Adversaries and an Honest-Majority

inferredcites →https://doi.org/10.1145/3243734.3243760openalex-snapshot

ABY 3

inferredcites →https://doi.org/10.1145/3243734.3243786openalex-snapshot

HyCC

inferredcites →https://doi.org/10.1145/359168.359176openalex-snapshot

How to share a secret

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Optimized Veriﬁable Delegated Private Set Intersection on Outsourced Private Datasets

inferred← citeshttps://doi.org/10.1002/cpe.70084openalex-snapshot

Privacy Protection During the Issuance and Revocation of Verifiable Credentials in Self‐Sovereign Identity

inferred← citeshttps://doi.org/10.1002/cpe.70918openalex-snapshot

H‐ SPDZ ‐Cloud: A Formal Prototype for Hierarchical Authenticated MPC in Edge–Fog–Cloud Architectures

inferred← citeshttps://doi.org/10.1002/cpe.7656openalex-snapshot

MP‐HTLC: Enabling blockchain interoperability through a multiparty implementation of the hash time‐lock contract

inferred← citeshttps://doi.org/10.1002/ett.70130openalex-snapshot

Critical Review of Different Approaches of Multiparty Privacy Protection Methods and Effectiveness on Social Media

inferred← citeshttps://doi.org/10.1002/int.23028openalex-snapshot

Server‐aided multiparty private set intersection protocols for lightweight clients and the application in intelligent logistics

inferred← citeshttps://doi.org/10.1002/int.23030openalex-snapshot

PPCNN: An efficient privacy‐preserving CNN training and inference framework

inferred← citeshttps://doi.org/10.1007/978-3-030-56880-1_29openalex-snapshot

Improved Primitives for MPC over Mixed Arithmetic-Binary Circuits

inferred← citeshttps://doi.org/10.1007/978-3-030-59013-0_32openalex-snapshot

Securing DNSSEC Keys via Threshold ECDSA from Generic MPC

inferred← citeshttps://doi.org/10.1007/978-3-030-68869-1_3openalex-snapshot

Efficient, Actively Secure MPC with a Dishonest Majority: A Survey

inferred← citeshttps://doi.org/10.1007/978-3-030-75539-3_2openalex-snapshot

Compilation of Function Representations for Secure Computing Paradigms

inferred← citeshttps://doi.org/10.1007/978-3-030-75539-3_22openalex-snapshot

Multi-party Revocation in Sovrin: Performance through Distributed Trust

inferred← citeshttps://doi.org/10.1007/978-3-030-78375-4_5openalex-snapshot

LLVM-Based Circuit Compilation for Practical Secure Computation

inferred← citeshttps://doi.org/10.1007/978-3-030-92078-4_10openalex-snapshot

Batching Base Oblivious Transfers

inferred← citeshttps://doi.org/10.1007/978-3-030-98347-5_13openalex-snapshot

Approximate Computing for Cryptography

inferred← citeshttps://doi.org/10.1007/978-3-030-98795-4_6openalex-snapshot

Privacy-Preserving Machine Learning Using Cryptography

inferred← citeshttps://doi.org/10.1007/978-3-030-99277-4_7openalex-snapshot

MPC for $$\mathcal {Q}_2$$ Access Structures over Rings and Fields

inferred← citeshttps://doi.org/10.1007/978-3-031-06944-4_14openalex-snapshot

Secure Multiparty Computation with Free Branching

inferred← citeshttps://doi.org/10.1007/978-3-031-13185-1_19openalex-snapshot

PoS4MPC: Automated Security Policy Synthesis for Secure Multi-party Computation

inferred← citeshttps://doi.org/10.1007/978-3-031-16103-2_23openalex-snapshot

Incentive Alignment Through Secure Computations

inferred← citeshttps://doi.org/10.1007/978-3-031-17143-7_15openalex-snapshot

Mixed-Technique Multi-Party Computations Composed of Two-Party Computations

inferred← citeshttps://doi.org/10.1007/978-3-031-17834-4_10openalex-snapshot

A Distributed Architecture for Privacy-Preserving Optimization Using Genetic Algorithms and Multi-party Computation

inferred← citeshttps://doi.org/10.1007/978-3-031-20099-1_2openalex-snapshot

Multi-party Secure Comparison of Strings Based on Outsourced Computation

inferred← citeshttps://doi.org/10.1007/978-3-031-20974-1_3openalex-snapshot

Through the Looking-Glass: Benchmarking Secure Multi-party Computation Comparisons for ReLU ’s

inferred← citeshttps://doi.org/10.1007/978-3-031-21377-9_1openalex-snapshot

Introduction

inferred← citeshttps://doi.org/10.1007/978-3-031-22677-9_10openalex-snapshot

PXCrypto: A Regulated Privacy-Preserving Cross-Chain Transaction Scheme

inferred← citeshttps://doi.org/10.1007/978-3-031-22963-3_19openalex-snapshot

Attaining GOD Beyond Honest Majority with Friends and Foes

inferred← citeshttps://doi.org/10.1007/978-3-031-28238-6_13openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-031-30634-1_9openalex-snapshot

From Farfalle to Megafono via Ciminion: The PRF Hydra for MPC Applications

inferred← citeshttps://doi.org/10.1007/978-3-031-30637-2_23openalex-snapshot

Approximate k-Nearest Neighbor Query over Spatial Data Federation

inferred← citeshttps://doi.org/10.1007/978-3-031-32415-4_19openalex-snapshot

Short Paper: Privacy Preserving Decentralized Netting

inferred← citeshttps://doi.org/10.1007/978-3-031-32636-3_11openalex-snapshot

MOTUS: How Quantized Parameters Improve Protection of Model and Its Inference Input

inferred← citeshttps://doi.org/10.1007/978-3-031-44469-2_4openalex-snapshot

Privacy-Preserving Edit Distance Computation Using Secret-Sharing Two-Party Computation

inferred← citeshttps://doi.org/10.1007/978-3-031-49099-6_14openalex-snapshot

Security and Privacy in Machine Learning

inferred← citeshttps://doi.org/10.1007/978-3-031-49187-0_16openalex-snapshot

Mercury: Constant-Round Protocols for Multi-Party Computation with Rationals

inferred← citeshttps://doi.org/10.1007/978-3-031-50594-2_5openalex-snapshot

Arithmetic Circuit Implementations of S-boxes for SKINNY and PHOTON in MPC

inferred← citeshttps://doi.org/10.1007/978-3-031-54770-6_12openalex-snapshot

Two-Party Decision Tree Training from Updatable Order-Revealing Encryption

inferred← citeshttps://doi.org/10.1007/978-3-031-70879-4_1openalex-snapshot

Attesting Distributional Properties of Training Data for Machine Learning

inferred← citeshttps://doi.org/10.1007/978-3-031-70890-9_10openalex-snapshot

Confidential and Verifiable Machine Learning Delegations on the Cloud

inferred← citeshttps://doi.org/10.1007/978-3-031-70890-9_18openalex-snapshot

BMI: Bounded Mutual Information for Efficient Privacy-Preserving Feature Selection

inferred← citeshttps://doi.org/10.1007/978-3-031-70896-1_18openalex-snapshot

$$\mathcal {P}\textsf{IVA}$$: Privacy-Preserving Identity Verification Methods for Accountless Users via Private List Intersection and Variants

inferred← citeshttps://doi.org/10.1007/978-3-031-77095-1_3openalex-snapshot

Legacy Compatible and Sybil Resistant Decentralized Identity Management for IoTs

inferred← citeshttps://doi.org/10.1007/978-3-031-77610-6_19openalex-snapshot

Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications

inferred← citeshttps://doi.org/10.1007/978-3-031-82852-2_3openalex-snapshot

Generation of Authenticated Secret-Shared Scaled Unit Vectors for Beaver Triples

inferred← citeshttps://doi.org/10.1007/978-3-031-87760-5_17openalex-snapshot

Hybrid Solutions for 2PC: How Much do they Cost?

inferred← citeshttps://doi.org/10.1007/978-3-031-89518-0_2openalex-snapshot

Secure Multi-party Querying Federated Graph Databases

inferred← citeshttps://doi.org/10.1007/978-3-031-95140-4_3openalex-snapshot

Secure Multiparty Computation

inferred← citeshttps://doi.org/10.1007/978-3-031-95767-3_9openalex-snapshot

A New Quadratic Noisy Functional Encryption Scheme and Its Application for Privacy Preserving Machine Learning

inferred← citeshttps://doi.org/10.1007/978-3-032-00642-4_12openalex-snapshot

b4M: Holistic Benchmarking for MPC

inferred← citeshttps://doi.org/10.1007/978-3-032-01806-9_16openalex-snapshot

Silentium: Implementation of a Pseudorandom Correlation Generator for Beaver Triples

inferred← citeshttps://doi.org/10.1007/978-3-032-01913-4_8openalex-snapshot

PicoGRAM: Practical Garbled RAM from Decisional Diffie-Hellman

inferred← citeshttps://doi.org/10.1007/978-3-032-06754-8_5openalex-snapshot

Great-LaKeys: An Improved Threshold-PRF and a Novel Exponent-VRF from LWR

inferred← citeshttps://doi.org/10.1007/978-3-032-10759-6_10openalex-snapshot

Privacy-Preserving Machine Learning on Web Browsing for Public Opinion

inferred← citeshttps://doi.org/10.1007/978-3-032-10759-6_6openalex-snapshot

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference

inferred← citeshttps://doi.org/10.1007/978-3-032-12287-2_4openalex-snapshot

Practical Secure Delegated Linear Algebra with Trapdoored Matrices

inferred← citeshttps://doi.org/10.1007/978-3-032-13714-2_24openalex-snapshot

SoK: Evaluation of Methods for Privacy Preserving Edge Video Analytics

inferred← citeshttps://doi.org/10.1007/978-3-032-22545-0_9openalex-snapshot

FAIR-MPC: Secure and Auditable SMPC for Anonymous Financial Collaboration

inferred← citeshttps://doi.org/10.1007/978-3-032-25324-8_16openalex-snapshot

When Trying to Catch Cheaters Breaks the MPC: Breaking and Fixing Delayed Consistency Checks in Trident, Fantastic Four, SWIFT, and Quad

inferred← citeshttps://doi.org/10.1007/978-3-032-26734-4_11openalex-snapshot

Secret-Shared Shuffle from Authenticated Correlations

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Privacy-Preserving Data Center Demand Response Using Multi-party Computation

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Linear Secret-Shared Shuffle with Malicious Security

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TRIP: Thresholding in Regression with Input Privacy

inferred← citeshttps://doi.org/10.1007/978-3-032-38702-8_27openalex-snapshot

HARP: Privacy-Preserving High-Accuracy Real-Time Pricing with Precise Encrypted Inverse for Smart Grids

inferred← citeshttps://doi.org/10.1007/978-3-032-38708-0_18openalex-snapshot

Differentially Private Intermediate Result Resizing for Scalable Secure Multi-party Analytics

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Improving the Efficiency of AES Protocols in Multi-Party Computation

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X-Based PPDL

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Introduction

inferred← citeshttps://doi.org/10.1007/978-981-92-2973-4_6openalex-snapshot

New Privacy-Preserving Activation Functions Based on Secure Multiparty Computation

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PCSP: Patient-Centric Secret-Sharing Protocol for Privacy-Preserving Biomedical Inference

inferred← citeshttps://doi.org/10.1007/978-981-95-4434-9_11openalex-snapshot

webSPDZ: Versatile MPC on the Web

inferred← citeshttps://doi.org/10.1007/978-981-95-5122-4_13openalex-snapshot

Pseudorandom Correlation Functions from Ring-LWR

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Privacy-Preserving Graph Data Deduplication for Deep Graph Learning

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FH-TEE: Single Enclave for All Applications

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An Efficient and Secure Vector Comparison Protocol in a Dishonest Majority Environment

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Towards Privacy-Preserving Collaborative Detection of DDoS with Secure Multi-Party Computation

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Model Extraction Attacks on Privacy-Preserving Deep Learning Based Medical Services

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Actively Secure Polynomial Evaluation from Shared Polynomial Encodings

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FOLEAGE: F 4 OLE-Based Multi-Party Computation for Boolean Circuits

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inferred← citeshttps://doi.org/10.1007/978-981-96-0954-3_4openalex-snapshot

Model Extraction Attack on MPC Hardened Vertical Federated Learning

inferred← citeshttps://doi.org/10.1007/978-981-97-0942-7_5openalex-snapshot

Secure Multi-party SM2 Signature Based on SPDZ Protocol

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A Multi-party Private Set Union Protocol Against Malicious Adversary

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Towards Private Multi-operator Network Slicing

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MaSTer: Maliciously Secure Truncation for Replicated Secret Sharing Without Pre-processing

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Efficient Large-Scale Multi-party Computation Based on Garbled Circuit

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inferred← citeshttps://doi.org/10.1007/978-981-99-5968-6_20openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-981-99-8721-4_11openalex-snapshot

Unconditionally Secure Multiparty Computation for Symmetric Functions with Low Bottleneck Complexity

inferred← citeshttps://doi.org/10.1007/s00145-021-09416-wopenalex-snapshot

Actively Secure Setup for SPDZ

inferred← citeshttps://doi.org/10.1007/s00145-023-09464-4openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s00145-026-09574-9openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s00778-024-00865-wopenalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s00778-024-00896-3openalex-snapshot

Hu-Fu: efficient and secure spatial queries over data federation

inferred← citeshttps://doi.org/10.1007/s00778-025-00959-zopenalex-snapshot

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Programmable Dataflows: Abstraction and Programming Model for Data Sharing

inferred← citeshttps://doi.org/10.1007/s10207-021-00539-6openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10207-025-01047-7openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10462-025-11466-6openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s11063-023-11182-8openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s11227-022-04552-xopenalex-snapshot

POPS: an off-peak precomputing scheme for privacy-preserving computing

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A novel FPGA-based mixed garbled circuit hardware accelerator (MixGCAcc)

inferred← citeshttps://doi.org/10.1007/s11704-022-2288-xopenalex-snapshot

Non-interactive SM2 threshold signature scheme with identifiable abort

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A Review on Secure Inference From Neural Networks

inferred← citeshttps://doi.org/10.1007/s42979-025-04503-2openalex-snapshot

Fast and Secure Multiparty Querying over Federated Graph Databases

inferred← citeshttps://doi.org/10.1007/s44443-026-00468-1openalex-snapshot

PriXGB: Secure and accurate XGBoost training with function secret sharing for vertical and horizontal data partitioning

inferred← citeshttps://doi.org/10.1016/j.cose.2024.104201openalex-snapshot

Oblivious and distributed firewall policies for securing firewalls from malicious attacks

inferred← citeshttps://doi.org/10.1016/j.cose.2024.104226openalex-snapshot

SMCD: Privacy-preserving deep learning based malicious code detection

inferred← citeshttps://doi.org/10.1016/j.crmeth.2025.101171openalex-snapshot

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Secformer: Privacy-preserving atomic-level componentized transformer-like model with MPC

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Kuscia: A Decentralized Framework to Alleviate User Burden and Security Concerns in Secure Collaborative Computing

inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124830openalex-snapshot

Privacy-preserving inference resistant to model extraction attacks

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DBFL: Dynamic Byzantine-Robust Privacy Preserving Federated Learning in Heterogeneous Data Scenario

inferred← citeshttps://doi.org/10.1016/j.ins.2025.121901openalex-snapshot

TPFL: Privacy-preserving personalized federated learning mitigates model poisoning attacks

inferred← citeshttps://doi.org/10.1016/j.jisa.2025.104036openalex-snapshot

A study on implementing the BLAS interface in the MPC context

inferred← citeshttps://doi.org/10.1016/j.jprocont.2026.103772openalex-snapshot

Federated learning for approximate robust MPC under privacy preservation

inferred← citeshttps://doi.org/10.1016/j.neucom.2024.127345openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.procs.2024.10.152openalex-snapshot

Secure Multi-party Key-Value Data Statistics Against Malicious Models

inferred← citeshttps://doi.org/10.1038/s41588-025-02109-1openalex-snapshot

Secure and federated genome-wide association studies for biobank-scale datasets

inferred← citeshttps://doi.org/10.1049/ise2/7043746openalex-snapshot

MPC‐Facilitated Adaptive Security Framework for BFT Protocols

inferred← citeshttps://doi.org/10.1051/sands/2021001openalex-snapshot

Concretely efficient secure multi-party computation protocols: survey and more

inferred← citeshttps://doi.org/10.1051/sands/2025014openalex-snapshot

PUMA: Secure inference of LLaMA-7B in five minutes

inferred← citeshttps://doi.org/10.1061/9780784486115.044openalex-snapshot

An Empirical Analysis of Secure Federated Learning for Autonomous Vehicle Applications

inferred← citeshttps://doi.org/10.1088/2632-2153/acc928openalex-snapshot

Encrypted machine learning of molecular quantum properties

inferred← citeshttps://doi.org/10.1093/gigascience/giae021openalex-snapshot

Future-proofing genomic data and consent management: a comprehensive review of technology innovations

inferred← citeshttps://doi.org/10.1101/2024.07.23.604393openalex-snapshot

Towards a new standard in genomic data privacy: a realization of owner-governance

inferred← citeshttps://doi.org/10.1109/2575-8411.2026.00037openalex-snapshot

Hardening Output Privacy for Secure Inference: A Lightweight Realization via Distributed Trust

inferred← citeshttps://doi.org/10.1109/access.2022.3222312openalex-snapshot

TTP-Aided Secure Computation Using (k, n) Threshold Secret Sharing With a Single Computing Server

inferred← citeshttps://doi.org/10.1109/access.2023.3239394openalex-snapshot

Generalized Secure and Dynamic Decentralized Reputation System With a Dishonest Majority

inferred← citeshttps://doi.org/10.1109/access.2023.3264903openalex-snapshot

A Reliable Application of MPC for Securing the Tri-Training Algorithm

inferred← citeshttps://doi.org/10.1109/access.2024.3388992openalex-snapshot

Secure Multi-Party Computation for Machine Learning: A Survey

inferred← citeshttps://doi.org/10.1109/acsac63791.2024.00066openalex-snapshot

FLUENT: A Tool for Efficient Mixed-Protocol Semi-Private Function Evaluation

inferred← citeshttps://doi.org/10.1109/acsac67867.2025.00040openalex-snapshot

Decentralized Privacy-Preserving Authenticated Key Exchange Using Real-World Attributes

inferred← citeshttps://doi.org/10.1109/acsac67867.2025.00044openalex-snapshot

FLAME: Flexible and Lightweight Biometric Authentication Scheme in Malicious Environments

inferred← citeshttps://doi.org/10.1109/acsac67867.2025.00075openalex-snapshot

Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning

inferred← citeshttps://doi.org/10.1109/bdpc69980.2026.11608111openalex-snapshot

Multi-Hop Privacy-Preserving Cross-Chain Payment Channels for Multi-Chain Ecosystems

inferred← citeshttps://doi.org/10.1109/bigdia71496.2026.11684595openalex-snapshot

Optimization of Visual Processing Pipeline for Secure Multi-Party Computation in Machine Learning

inferred← citeshttps://doi.org/10.1109/cisat62382.2024.10695265openalex-snapshot

Efficient privacy aggregation method based on zero-knowledge proofs in federated learning

inferred← citeshttps://doi.org/10.1109/cloud55607.2022.00076openalex-snapshot

GenoPPML – a framework for genomic privacy-preserving machine learning

inferred← citeshttps://doi.org/10.1109/commnet52204.2021.9641962openalex-snapshot

Dependable Decentralized Reputation Management System for Vehicular Ad Hoc Networks

inferred← citeshttps://doi.org/10.1109/compsac69091.2026.00085openalex-snapshot

SVEvote: Scalable, Secure and Verifiable E-Voting

inferred← citeshttps://doi.org/10.1109/cscloud66326.2025.00047openalex-snapshot

Astrampc: Asynchronous Data-Driven Framework for Multi-Party Secure Computation

inferred← citeshttps://doi.org/10.1109/docs60977.2023.10294954openalex-snapshot

Federated $k$-Dominant Skyline: An Efficient Approach Under Differential Privacy

inferred← citeshttps://doi.org/10.1109/dsc61021.2023.10354193openalex-snapshot

SepMM: A General Matrix Multiplication Optimization Approach for Privacy-Preserving Machine Learning

inferred← citeshttps://doi.org/10.1109/eurosp60621.2024.00029openalex-snapshot

Practical Constructions for Single Input Functionality Against a Dishonest Majority

inferred← citeshttps://doi.org/10.1109/eurosp60621.2024.00031openalex-snapshot

Communication-Efficient Secure Logistic Regression

inferred← citeshttps://doi.org/10.1109/eurosp60621.2024.00050openalex-snapshot

Efficient Two-Party Secure Aggregation via Incremental Distributed Point Function

inferred← citeshttps://doi.org/10.1109/eurospw55150.2022.00060openalex-snapshot

Outsourcing MPC Precomputation for Location Privacy

inferred← citeshttps://doi.org/10.1109/fcn66513.2025.11296741openalex-snapshot

A Framework for Secure and Trusted Cross-Border Data Flows in International Trade

inferred← citeshttps://doi.org/10.1109/globecom52923.2024.10901297openalex-snapshot

Benchmark GELU in Secure Multi-Party Computation

inferred← citeshttps://doi.org/10.1109/hpec67600.2025.11196126openalex-snapshot

Accelerating Multi-Party Computation Using Heterogeneous Systems

inferred← citeshttps://doi.org/10.1109/hpec67600.2025.11196508openalex-snapshot

Optimizing Local Computation in Secure Matrix Multiplication for Outsourced Neural Networks

inferred← citeshttps://doi.org/10.1109/icaice68195.2025.11382231openalex-snapshot

A Method for Achieving Secure KNN Similarity Set Search with an Honest Majority

inferred← citeshttps://doi.org/10.1109/icaisisas64483.2025.11051623openalex-snapshot

HEKAN:A new neural network for encrypted inference

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096113openalex-snapshot

Privacy-Preserving Automatic Speaker Diarization

inferred← citeshttps://doi.org/10.1109/icbc54727.2022.9805505openalex-snapshot

Privacy-Preserving Decentralized Exchange Marketplaces

inferred← citeshttps://doi.org/10.1109/icc45041.2023.10278842openalex-snapshot

SecMath: An Efficient 2-Party Cryptographic Framework for Math Functions

inferred← citeshttps://doi.org/10.1109/icc45041.2023.10279374openalex-snapshot

TriFSS: Secure Trigonometric Function Evaluation via Function Secret Sharing

inferred← citeshttps://doi.org/10.1109/icc52391.2025.11161429openalex-snapshot

SecInfer: Secure and Efficient Model Inference on Vertically Partitioned Data

inferred← citeshttps://doi.org/10.1109/icc59461.2026.11587641openalex-snapshot

Efficient Privacy-Preserving Genetic Analysis via Distributed Function Secret Sharing

inferred← citeshttps://doi.org/10.1109/iccbd-ai62252.2023.00016openalex-snapshot

A multi-party logistic regression using the Adam method

inferred← citeshttps://doi.org/10.1109/icccn58024.2023.10230199openalex-snapshot

SecureGAN: Secure Three-Party GAN Training

inferred← citeshttps://doi.org/10.1109/icccn61486.2024.10637634openalex-snapshot

Privacy-Preserving Group Closeness Maximization

inferred← citeshttps://doi.org/10.1109/icdcsw63273.2025.00101openalex-snapshot

Byzantine-Resilient Federated Learning: Evaluating MPC Approaches

inferred← citeshttps://doi.org/10.1109/icde53745.2022.00176openalex-snapshot

Scape: Scalable Collaborative Analytics System on Private Database with Malicious Security

inferred← citeshttps://doi.org/10.1109/icde65448.2025.00161openalex-snapshot

Towards Learning on Vertically Partitioned Data with Distributed Differential Privacy

inferred← citeshttps://doi.org/10.1109/icde65448.2025.00170openalex-snapshot

FedRoad: Secure and Efficient Road Network Queries over Traffic Data Federation

inferred← citeshttps://doi.org/10.1109/icde65448.2025.00203openalex-snapshot

Fast Private Retrieval on Key-Value Store with Multiple Values per Key

inferred← citeshttps://doi.org/10.1109/icdis55630.2022.00008openalex-snapshot

Efficient Mixed-Protocol Secure Four-Party Computation with Private Robustness

inferred← citeshttps://doi.org/10.1109/ichbc68357.2025.11414500openalex-snapshot

BPRET: A Blockchain-Based Framework for Decentralized, Secure, and Privacy-Preserving Real-Time Electricity Trading

inferred← citeshttps://doi.org/10.1109/icnp65844.2025.11192338openalex-snapshot

PrivMLLM: Efficient Three-Party Multimodal Large Language Model Secure Inference Supported Prompt Privacy

inferred← citeshttps://doi.org/10.1109/icsc65596.2025.11140461openalex-snapshot

Privacy-Preserving Training and Inference of CNNs: A Medical Performance Case Study

inferred← citeshttps://doi.org/10.1109/icsist70215.2026.11706020openalex-snapshot

Privacy-Preserving AI Co-Defense using Secure Multi-Party Computation in Distributed Cloud Environments

inferred← citeshttps://doi.org/10.1109/icws62655.2024.00073openalex-snapshot

Blockchain-based Privacy-preserving Data Service Provisioning for Internet of Things

inferred← citeshttps://doi.org/10.1109/icws72778.2026.00016openalex-snapshot

Fides: Federated Inter-Organizational System Dynamics for Explorative Process Simulation

inferred← citeshttps://doi.org/10.1109/iecon58223.2025.11221678openalex-snapshot

Performance Evaluation of Privacy-Preserving Life Cycle Assessment Using Secure Multi-Party Computation Protocols

inferred← citeshttps://doi.org/10.1109/infocom42981.2021.9488759openalex-snapshot

Privacy Preserving and Resilient RPKI

inferred← citeshttps://doi.org/10.1109/iolts59296.2023.10224859openalex-snapshot

$\text{MP}\ell\circ \mathrm{C}$: Privacy-Preserving IP Verification Using Logic Locking and Secure Multiparty Computation

inferred← citeshttps://doi.org/10.1109/ipdps64566.2025.00062openalex-snapshot

Pair-Then-Aggregate: Simplified and Efficient Parallel Programming Paradigm for Secure Multi-Party Computation

inferred← citeshttps://doi.org/10.1109/iscait64916.2025.11010413openalex-snapshot

Privacy-Preserving Machine Learning: Cryptographic Techniques and Development Frontiers

inferred← citeshttps://doi.org/10.1109/iscas56072.2025.11043786openalex-snapshot

Secret Sharing Enabling Multi-Operations on FPGA Design for Multi-party Computation in Storage Systems

inferred← citeshttps://doi.org/10.1109/ispa67752.2025.00103openalex-snapshot

Secure Multi-Party Computation System Against Malicious Adversary based on Circuit Simulation

inferred← citeshttps://doi.org/10.1109/itc-asia62534.2024.10661309openalex-snapshot

MPC-PAT: A Pipeline Architecture for Beaver Triple Generation in Secure Multi-party Computation

inferred← citeshttps://doi.org/10.1109/jiot.2021.3058638openalex-snapshot

Privacy-Preserving Deep Learning Based on Multiparty Secure Computation: A Survey

inferred← citeshttps://doi.org/10.1109/jiot.2021.3094930openalex-snapshot

HERMES: Scalable, Secure, and Privacy-Enhancing Vehicular Sharing-Access System

inferred← citeshttps://doi.org/10.1109/jiot.2023.3275161openalex-snapshot

Practical Feature Inference Attack in Vertical Federated Learning During Prediction in Artificial Internet of Things

inferred← citeshttps://doi.org/10.1109/jiot.2023.3315226openalex-snapshot

PBFL: Privacy-Preserving and Byzantine-Robust Federated-Learning-Empowered Industry 4.0

inferred← citeshttps://doi.org/10.1109/jiot.2024.3509222openalex-snapshot

Robust and Secure Aggregation Scheme for Federated Learning

inferred← citeshttps://doi.org/10.1109/jiot.2025.3640675openalex-snapshot

PriFidCE: An Efficient Privacy-Preserving Face Identification Protocol From a More Compact Coefficient Embedding

inferred← citeshttps://doi.org/10.1109/jproc.2022.3205665openalex-snapshot

Survey on Fully Homomorphic Encryption, Theory, and Applications

inferred← citeshttps://doi.org/10.1109/lcn58197.2023.10223365openalex-snapshot

Outsourcing Privacy-Preserving Federated Learning on Malicious Networks through MPC

inferred← citeshttps://doi.org/10.1109/lcn65610.2025.11146341openalex-snapshot

A Cheating Detection and Recovery Framework for Robust Multiparty Computation in the Cloud

inferred← citeshttps://doi.org/10.1109/medai59581.2023.00047openalex-snapshot

Secure and Efficient Federated Statistical Tests for Medical Data based on TEE and Secure Resharing Protocols

inferred← citeshttps://doi.org/10.1109/msn69125.2025.00050openalex-snapshot

SMPC-Enhanced ALADIN for Privacy-Preserving Distributed OPF

inferred← citeshttps://doi.org/10.1109/mswim67937.2025.11308993openalex-snapshot

EnerSwap: Large-Scale, Privacy-First Automated Market Maker for V2G Energy Trading

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