| DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release | Nov 23, 2023 | Privacy Preserving | CodeCode Available | 1 |
| Dual Personalization on Federated Recommendation | Jan 16, 2023 | Privacy PreservingRecommendation Systems | CodeCode Available | 1 |
| Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline | Apr 1, 2024 | Anomaly DetectionPrivacy Preserving | CodeCode Available | 1 |
| Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation | Mar 17, 2022 | Entity EmbeddingsFederated Learning | CodeCode Available | 1 |
| A2XP: Towards Private Domain Generalization | Nov 17, 2023 | Domain GeneralizationPrivacy Preserving | CodeCode Available | 1 |
| CipherPrune: Efficient and Scalable Private Transformer Inference | Feb 24, 2025 | Privacy Preserving | CodeCode Available | 1 |
| Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning | Sep 12, 2022 | Federated Learningimage-classification | CodeCode Available | 1 |
| CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU | Apr 22, 2021 | BIG-bench Machine LearningCPU | CodeCode Available | 1 |
| Differentially Private Bias-Term Fine-tuning of Foundation Models | Sep 30, 2022 | Privacy Preserving | CodeCode Available | 1 |
| EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud Computing | Aug 31, 2022 | Cloud ComputingContrastive Learning | CodeCode Available | 1 |
| BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities | Jan 24, 2025 | Brain DecodingImage Reconstruction | CodeCode Available | 1 |
| Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion Models | Oct 23, 2023 | De-identificationDenoising | CodeCode Available | 1 |
| Can Foundation Models Help Us Achieve Perfect Secrecy? | May 27, 2022 | Federated LearningIn-Context Learning | CodeCode Available | 1 |
| FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise | Dec 20, 2023 | Federated LearningImage Segmentation | CodeCode Available | 1 |
| FedCorr: Multi-Stage Federated Learning for Label Noise Correction | Apr 10, 2022 | Federated LearningPrivacy Preserving | CodeCode Available | 1 |
| FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning | Sep 15, 2023 | Data AugmentationDisentanglement | CodeCode Available | 1 |
| FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs | Aug 29, 2022 | Federated LearningGraph Learning | CodeCode Available | 1 |
| Federated Adaptation for Foundation Model-based Recommendations | May 8, 2024 | Federated Learningmodel | CodeCode Available | 1 |
| Federated Learning for Computational Pathology on Gigapixel Whole Slide Images | Sep 21, 2020 | Deep LearningDiagnostic | CodeCode Available | 1 |
| Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark | Nov 12, 2023 | FairnessFederated Learning | CodeCode Available | 1 |
| Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural Networks | Apr 28, 2020 | BIG-bench Machine LearningPrivacy Preserving | CodeCode Available | 1 |
| Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features | Apr 28, 2022 | Federated LearningPrivacy Preserving | CodeCode Available | 1 |
| Federated Learning with Label-Masking Distillation | Sep 20, 2024 | Federated LearningPrivacy Preserving | CodeCode Available | 1 |
| A Distributed Trust Framework for Privacy-Preserving Machine Learning | Jun 3, 2020 | BIG-bench Machine LearningData Poisoning | CodeCode Available | 1 |
| Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory | Oct 27, 2023 | Privacy Preserving | CodeCode Available | 1 |
