| Hierarchical fuzzy neural networks with privacy preservation for heterogeneous big data | Sep 18, 2022 | Privacy Preserving | CodeCode Available | 0 | 5 |
| High Performance Logistic Regression for Privacy-Preserving Genome Analysis | Feb 13, 2020 | Privacy Preservingregression | CodeCode Available | 0 | 5 |
| Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival Data | Mar 8, 2024 | Privacy PreservingSurvival Analysis | CodeCode Available | 0 | 5 |
| COVID-19 and Your Smartphone: BLE-based Smart Contact Tracing | May 28, 2020 | BIG-bench Machine LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| Efficient and Privacy-Preserved Link Prediction via Condensed Graphs | Mar 15, 2025 | Link PredictionNode Classification | CodeCode Available | 0 | 5 |
| An Inversion-based Measure of Memorization for Diffusion Models | May 9, 2024 | Image GenerationMemorization | CodeCode Available | 0 | 5 |
| Cough-E: A multimodal, privacy-preserving cough detection algorithm for the edge | Oct 31, 2024 | Model OptimizationPrivacy Preserving | CodeCode Available | 0 | 5 |
| Memorization of Named Entities in Fine-tuned BERT Models | Dec 7, 2022 | MemorizationPrivacy Preserving | CodeCode Available | 0 | 5 |
| Empathy Detection from Text, Audiovisual, Audio or Physiological Signals: A Systematic Review of Task Formulations and Machine Learning Methods | Oct 30, 2023 | Privacy PreservingSystematic Literature Review | CodeCode Available | 0 | 5 |
| Differentially Private Adaptation of Diffusion Models via Noisy Aggregated Embeddings | Nov 22, 2024 | Privacy PreservingStyle Transfer | CodeCode Available | 0 | 5 |
| Differentially Private Algorithms for Synthetic Power System Datasets | Mar 20, 2023 | Privacy Preserving | CodeCode Available | 0 | 5 |
| In-Context Learning for Preserving Patient Privacy: A Framework for Synthesizing Realistic Patient Portal Messages | Nov 10, 2024 | De-identificationIn-Context Learning | 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 |
| Cooperative Network Learning for Large-Scale and Decentralized Graphs | Nov 3, 2023 | Graph LearningLink Prediction | 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 |
| Air Signing and Privacy-Preserving Signature Verification for Digital Documents | May 17, 2024 | Fingertip DetectionGesture Recognition | 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 |
| Key Protected Classification for Collaborative Learning | Aug 27, 2019 | ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| Backpropagation Clipping for Deep Learning with Differential Privacy | Feb 10, 2022 | Deep LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| Differentially Private Distributed Bayesian Linear Regression with MCMC | Jan 31, 2023 | Bayesian InferencePrivacy Preserving | CodeCode Available | 0 | 5 |
| DP-NMT: Scalable Differentially-Private Machine Translation | Nov 24, 2023 | Machine TranslationNMT | CodeCode Available | 0 | 5 |
| Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning | Nov 29, 2023 | Federated LearningInference Attack | CodeCode Available | 0 | 5 |
| Learning Human Action Recognition Representations Without Real Humans | Nov 10, 2023 | Action RecognitionEthics | CodeCode Available | 0 | 5 |
| Learning Robust and Privacy-Preserving Representations via Information Theory | Dec 15, 2024 | Adversarial RobustnessAttribute | 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 |
| A Statistical Approach for Synthetic EEG Data Generation | Apr 22, 2025 | EEGElectroencephalogram (EEG) | CodeCode Available | 0 | 5 |
| LFFR: Logistic Function For (single-output) Regression | Jul 13, 2024 | Privacy Preservingregression | CodeCode Available | 0 | 5 |
| Differentially private federated deep learning for multi-site medical image segmentation | Jul 6, 2021 | Deep LearningFederated Learning | CodeCode Available | 0 | 5 |
| DPM: Clustering Sensitive Data through Separation | Jul 6, 2023 | ClusteringPrivacy Preserving | CodeCode Available | 0 | 5 |
| Empowering Data Mesh with Federated Learning | Mar 26, 2024 | Decision MakingFederated Learning | CodeCode Available | 0 | 5 |
| Privacy-Preserving Graph Embedding based on Local Differential Privacy | Oct 17, 2023 | Graph EmbeddingLink Prediction | CodeCode Available | 0 | 5 |
| Locally Private Bayesian Inference for Count Models | Mar 22, 2018 | Bayesian InferenceLink Prediction | CodeCode Available | 0 | 5 |
| Contrastive Learning and Adversarial Disentanglement for Task-Oriented Semantic Communications | Oct 30, 2024 | AttributeContrastive Learning | CodeCode Available | 0 | 5 |
| Low Latency Privacy Preserving Inference | Dec 27, 2018 | Privacy PreservingTransfer Learning | CodeCode Available | 0 | 5 |
| LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration | May 8, 2025 | Privacy PreservingRAG | 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 |
| Domain Adaptation from Scratch | Sep 2, 2022 | Active LearningDomain Adaptation | CodeCode Available | 0 | 5 |
| DP-EM: Differentially Private Expectation Maximization | May 23, 2016 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data Distillation | Jan 31, 2023 | GPUPrivacy Preserving | CodeCode Available | 0 | 5 |
| Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learning | Sep 2, 2024 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Differentially Private Knowledge Distillation via Synthetic Text Generation | Mar 1, 2024 | Knowledge DistillationModel Compression | CodeCode Available | 0 | 5 |
| BEFL: Balancing Energy Consumption in Federated Learning for Mobile Edge IoT | Dec 5, 2024 | Federated LearningImitation Learning | CodeCode Available | 0 | 5 |
| Distributed Differentially Private Computation of Functions with Correlated Noise | Apr 22, 2019 | BIG-bench Machine LearningPrivacy Preserving | CodeCode Available | 0 | 5 |
| Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records | Jun 12, 2019 | De-identificationPrivacy Preserving | CodeCode Available | 0 | 5 |
| Dirichlet Mechanism for Differentially Private KL Divergence Minimization | Oct 3, 2021 | Privacy Preserving | CodeCode Available | 0 | 5 |
| Disparate Impact on Group Accuracy of Linearization for Private Inference | Feb 6, 2024 | FairnessPrivacy Preserving | CodeCode Available | 0 | 5 |
| Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization | Dec 1, 2018 | 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 |
| Model-Protected Multi-Task Learning | Sep 18, 2018 | modelMulti-Task Learning | CodeCode Available | 0 | 5 |
| Differentially Private Sliced Wasserstein Distance | Jul 5, 2021 | Domain AdaptationPrivacy Preserving | CodeCode Available | 0 | 5 |