| BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities | Jan 24, 2025 | Brain DecodingImage Reconstruction | CodeCode Available | 1 |
| Can Foundation Models Help Us Achieve Perfect Secrecy? | May 27, 2022 | Federated LearningIn-Context 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 |
| 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 |
| 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 |
