| Optimized Layerwise Approximation for Efficient Private Inference on Fully Homomorphic Encryption | Oct 16, 2023 | Privacy Preserving | —Unverified | 0 |
| Optimizing Privacy-Preserving Outsourced Convolutional Neural Network Predictions | Feb 22, 2020 | Medical Image AnalysisPrediction | —Unverified | 0 |
| Optimizing the Privacy-Utility Balance using Synthetic Data and Configurable Perturbation Pipelines | Apr 24, 2025 | Privacy PreservingSynthetic Data Generation | —Unverified | 0 |
| Optimizing TinyML: The Impact of Reduced Data Acquisition Rates for Time Series Classification on Microcontrollers | Sep 17, 2024 | Privacy PreservingTime Series | —Unverified | 0 |
| Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems | Jan 7, 2025 | FairnessFederated Learning | —Unverified | 0 |
| Orchestrating Collaborative Cybersecurity: A Secure Framework for Distributed Privacy-Preserving Threat Intelligence Sharing | Sep 6, 2022 | Privacy Preserving | —Unverified | 0 |
| Oriole: Thwarting Privacy against Trustworthy Deep Learning Models | Feb 23, 2021 | Data PoisoningDeep Learning | —Unverified | 0 |
| Outsourced Bayesian Optimization | Jan 1, 2020 | Bayesian OptimizationPrivacy Preserving | —Unverified | 0 |
| Outsourced Privacy-Preserving Feature Selection Based on Fully Homomorphic Encryption | May 19, 2025 | feature selectionPrivacy Preserving | —Unverified | 0 |
| Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator | Jul 13, 2024 | class-incremental learningClass Incremental Learning | —Unverified | 0 |
