homomorphic encryption

LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference NeurIPS 2023 On the Gini-impurity Preservation For Privacy Random Forests NeurIPS 2023 Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference NeurIPS 2023 Privacy-Preserving Natural Language Processing EACL 2023 SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference ICML 2023 CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference NeurIPS 2022 Encrypted Linear Contextual Bandit AISTATS 2022 Homomorphic Matrix Completion NeurIPS 2022 Iron: Private Inference on Transformers NeurIPS 2022 Privacy-Preserving Text Classification on BERT Embeddings with Homomorphic Encryption NAACL 2022 THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption ACL 2022 Toward Privacy-preserving Text Embedding Similarity with Homomorphic Encryption EMNLP 2022 CaPC Learning: Confidential and Private Collaborative Learning ICLR 2021 CRYPTOGRU: Low Latency Privacy-Preserving Text Analysis With GRU EMNLP 2021 Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation NeurIPS 2021 HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture ICML 2021 Parameter-free HE-friendly Logistic Regression NeurIPS 2021 Privacy-Preserving Voice Anti-Spoofing Using Secure Multi-Party Computation Interspeech 2021 The Chinese Remainder Theorem for Compact, Task-Precise, Efficient and Secure Word Embeddings EACL 2021 AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference NeurIPS 2020 ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition CVPR 2020 Falcon: Fast Spectral Inference on Encrypted Data NeurIPS 2020 Learning Model with Error -- Exposing the Hidden Model of BAYHENN IJCAI 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