| Estimating Model Performance on External Samples from Their Limited Statistical Characteristics | Feb 28, 2022 | Privacy Preserving | CodeCode Available | 0 |
| Private Outsourced Bayesian Optimization | Oct 24, 2020 | Bayesian OptimizationPrivacy Preserving | CodeCode Available | 0 |
| Robust Federated Learning Against Poisoning Attacks: A GAN-Based Defense Framework | Mar 26, 2025 | Federated LearningGenerative Adversarial Network | CodeCode Available | 0 |
| Global Balanced Experts for Federated Long-Tailed Learning | Jan 1, 2023 | Federated LearningPrivacy Preserving | CodeCode Available | 0 |
| NIPD: A Federated Learning Person Detection Benchmark Based on Real-World Non-IID Data | Jun 28, 2023 | Federated LearningHuman Detection | CodeCode Available | 0 |
| Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies | Oct 12, 2022 | Privacy Preservingquantile regression | CodeCode Available | 0 |
| GOD model: Privacy Preserved AI School for Personal Assistant | Feb 24, 2025 | Imitation LearningPrivacy Preserving | CodeCode Available | 0 |
| Goten: GPU-Outsourcing Trusted Execution of Neural Network Training and Prediction | Sep 25, 2019 | GPUPrivacy Preserving | CodeCode Available | 0 |
| ER-AE: Differentially Private Text Generation for Authorship Anonymization | Jul 20, 2019 | Privacy PreservingText Generation | CodeCode Available | 0 |
| Privacy-Preserving Models for Legal Natural Language Processing | Nov 5, 2022 | Domain AdaptationPrivacy Preserving | CodeCode Available | 0 |
