secure computation

Osprey: Transparent and Efficient Virtual Memory for Secure Computation OSDI 2026 On Probabilistic Truncation in Privacy-preserving Machine Learning AAAI 2025 PrivDNFIS: Privacy-preserving and Efficient Deep Neuro-Fuzzy Inference System AAAI 2025 CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference NeurIPS 2023 Distributed Differential Privacy in Multi-Armed Bandits ICLR 2023 Practical privacy-preserving Gaussian process regression via secret sharing UAI 2023 SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits (Extended Abstract) IJCAI 2023 SECRECY: Secure collaborative analytics in untrusted clouds NSDI 2023 Iron: Private Inference on Transformers NeurIPS 2022 VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely? NeurIPS 2022 Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation NeurIPS 2021 FATE: An Industrial Grade Platform for Collaborative Learning With Data Protection JMLR 2021 MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation OSDI 2021 A Scalable Approach for Privacy-Preserving Collaborative Machine Learning NeurIPS 2020 CryptoNAS: Private Inference on a ReLU Budget NeurIPS 2020 FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions CVPR 2020 Private Protocols for U-Statistics in the Local Model and Beyond AISTATS 2020 BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference IJCAI 2019 Logistic Regression on Homomorphic Encrypted Data at Scale AAAI 2019 Oblivious Sampling Algorithms for Private Data Analysis NeurIPS 2019 Graviton: Trusted Execution Environments on GPUs OSDI 2018 CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy ICML 2016 Ryoan: A Distributed Sandbox for Untrusted Computation on Secret Data OSDI 2016 Efficient Methods for Privacy Preserving Face Detection NeurIPS 2006