conftrace_

homomorphic encryption

56 papers

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Also known as

HE

Co-occurring keywords

privacy-preserving inference (22) neural network (6616) privacy preservation (380) privacy-preserving machine learning (100) encrypted inference (9) secure inference (10) model compression (3302) secure computation (22) federated learning (1333) differential privacy (1016)

Papers

THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption ACL 2022
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference NIPS 2022
Privacy-Preserving Text Classification on BERT Embeddings with Homomorphic Encryption NAACL 2022
Iron: Private Inference on Transformers NIPS 2022
Encrypted Linear Contextual Bandit AISTATS 2022
Toward Privacy-preserving Text Embedding Similarity with Homomorphic Encryption EMNLP 2022
Homomorphic Matrix Completion NIPS 2022
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation NIPS 2021
Privacy-Preserving Voice Anti-Spoofing Using Secure Multi-Party Computation INTERSPEECH 2021
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture ICML 2021
CRYPTOGRU: Low Latency Privacy-Preserving Text Analysis With GRU EMNLP 2021
The Chinese Remainder Theorem for Compact, Task-Precise, Efficient and Secure Word Embeddings EACL 2021
Parameter-free HE-friendly Logistic Regression NIPS 2021
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference NIPS 2020
ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition CVPR 2020
Learning Model with Error -- Exposing the Hidden Model of BAYHENN IJCAI 2020
Falcon: Fast Spectral Inference on Encrypted Data NIPS 2020
Obfuscation for Privacy-preserving Syntactic Parsing ACL 2020
Privacy-Preserving Gaussian Process Regression – A Modular Approach to the Application of Homomorphic Encryption AAAI 2020
Extracting Mel-Frequency and Bark-Frequency Cepstral Coefficients from Encrypted Signals INTERSPEECH 2019
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference IJCAI 2019
Logistic Regression on Homomorphic Encrypted Data at Scale AAAI 2019
Low Latency Privacy Preserving Inference ICML 2019
SHE: A Fast and Accurate Deep Neural Network for Encrypted Data NIPS 2019
Partially Encrypted Deep Learning using Functional Encryption NIPS 2019