| Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting | May 22, 2023 | Decision MakingPrivacy Preserving | CodeCode Available | 0 | 5 |
| A Lightweight Privacy-Preserving Scheme Using Label-based Pixel Block Mixing for Image Classification in Deep Learning | May 19, 2021 | Data AugmentationDeep Learning | CodeCode Available | 0 | 5 |
| Dataset Distillation using Neural Feature Regression | Jun 1, 2022 | Continual LearningDataset Distillation | CodeCode Available | 0 | 5 |
| DartBlur: Privacy Preservation With Detection Artifact Suppression | Jan 1, 2023 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Enhanced Outsourced and Secure Inference for Tall Sparse Decision Trees | May 4, 2025 | Cloud ComputingPrivacy Preserving | CodeCode Available | 0 | 5 |
| Empowering Data Mesh with Federated Learning | Mar 26, 2024 | Decision MakingFederated Learning | CodeCode Available | 0 | 5 |
| A Lightweight and Secure Deep Learning Model for Privacy-Preserving Federated Learning in Intelligent Enterprises | Mar 3, 2025 | Federated LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST) | Dec 20, 2023 | Computational EfficiencyPrivacy Preserving | CodeCode Available | 0 | 5 |
| FADAS: Towards Federated Adaptive Asynchronous Optimization | Jul 25, 2024 | Federated LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| Amalgam: A Framework for Obfuscated Neural Network Training on the Cloud | Jun 2, 2024 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data | Jan 31, 2024 | Mortality PredictionPrivacy Preserving | CodeCode Available | 0 | 5 |
| Efficient and Privacy-Preserved Link Prediction via Condensed Graphs | Mar 15, 2025 | Link PredictionNode Classification | CodeCode Available | 0 | 5 |
| FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning | Nov 16, 2021 | Federated LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks | Mar 23, 2020 | Activity RecognitionAttribute | CodeCode Available | 0 | 5 |
| DRL-Based Resource Allocation for Motion Blur Resistant Federated Self-Supervised Learning in IoV | Aug 17, 2024 | CPUDeep Reinforcement Learning | CodeCode Available | 0 | 5 |
| DP-NMT: Scalable Differentially-Private Machine Translation | Nov 24, 2023 | Machine TranslationNMT | CodeCode Available | 0 | 5 |
| DPM: Clustering Sensitive Data through Separation | Jul 6, 2023 | ClusteringPrivacy Preserving | CodeCode Available | 0 | 5 |
| Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees | Sep 4, 2022 | AttributeLink Prediction | CodeCode Available | 0 | 5 |
| DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning | Aug 19, 2023 | Multi-agent Reinforcement LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| DP-EM: Differentially Private Expectation Maximization | May 23, 2016 | Privacy Preserving | CodeCode Available | 0 | 5 |
| DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference | Mar 10, 2023 | Bayesian InferenceDrug Design | CodeCode Available | 0 | 5 |
| Domain Adaptation from Scratch | Sep 2, 2022 | Active LearningDomain Adaptation | CodeCode Available | 0 | 5 |
| Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation | Jul 14, 2025 | Domain AdaptationFederated Learning | CodeCode Available | 0 | 5 |
| DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM | Jun 28, 2019 | Privacy PreservingStochastic Optimization | CodeCode Available | 0 | 5 |
| DP-RTFL: Differentially Private Resilient Temporal Federated Learning for Trustworthy AI in Regulated Industries | May 27, 2025 | Federated LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
