conftrace_

secure multi-party computation

21 papers

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Also known as

SMPC

Co-occurring keywords

differential privacy (1016) homomorphic encryption (56) privacy preserving (54) federated learning (1333) privacy-preserving machine learning (100) convolutional neural network (4226) privacy-preserving inference (22) private inference (12) transformer inference (13) neural network (6616)

Papers

Efficient, Secure, Differentially Private Deep Learning in the Two-Server Model AAAI 2026
PCFormer: Accelerating Privacy-preserving Transformer Inference by Partition and Combination AAAI 2026
CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference ACL 2025
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data NIPS 2024
Split, count, and share: a differentially private set intersection cardinality estimation protocol UAI 2023
Robust and Actively Secure Serverless Collaborative Learning NIPS 2023
FLVoogd: Robust And Privacy Preserving Federated Learning ACML 2022
Iron: Private Inference on Transformers NIPS 2022
Secure Quantized Training for Deep Learning ICML 2022
Privacy-Preserving Video Classification with Convolutional Neural Networks ICML 2021
Privacy-Preserving Voice Anti-Spoofing Using Secure Multi-Party Computation INTERSPEECH 2021
Goten: GPU-Outsourcing Trusted Execution of Neural Network Training AAAI 2021
ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare AAAI 2021
CrypTen: Secure Multi-Party Computation Meets Machine Learning NIPS 2021
Orchard: Differentially Private Analytics at Scale OSDI 2020
Privacy-Preserving Speaker Recognition with Cohort Score Normalisation INTERSPEECH 2019
Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation NIPS 2019
Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization NIPS 2018
Blind Justice: Fairness with Encrypted Sensitive Attributes ICML 2018
Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization ACML 2016
Efficient Methods for Privacy Preserving Face Detection NIPS 2006