| Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory | Oct 27, 2023 | Privacy Preserving | CodeCode Available | 1 |
| Federated Learning with Label-Masking Distillation | Sep 20, 2024 | Federated LearningPrivacy Preserving | CodeCode Available | 1 |
| Federated Learning with Spiking Neural Networks | Jun 11, 2021 | Federated LearningPrivacy Preserving | CodeCode Available | 1 |
| Federated Few-Shot Learning for Mobile NLP | Dec 12, 2022 | Few-Shot LearningPrivacy Preserving | CodeCode Available | 1 |
| Federated PCA on Grassmann Manifold for Anomaly Detection in IoT Networks | Dec 23, 2022 | Anomaly DetectionPrivacy Preserving | CodeCode Available | 1 |
| Federated Recommendation via Hybrid Retrieval Augmented Generation | Mar 7, 2024 | HallucinationPrivacy Preserving | CodeCode Available | 1 |
| CATS: Conditional Adversarial Trajectory Synthesis for Privacy-Preserving Trajectory Data Publication Using Deep Learning Approaches | Sep 20, 2023 | EthicsGraph Matching | CodeCode Available | 1 |
| BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities | Jan 24, 2025 | Brain DecodingImage Reconstruction | CodeCode Available | 1 |
| A Distributed Trust Framework for Privacy-Preserving Machine Learning | Jun 3, 2020 | BIG-bench Machine LearningData Poisoning | CodeCode Available | 1 |
| Can Foundation Models Help Us Achieve Perfect Secrecy? | May 27, 2022 | Federated LearningIn-Context Learning | CodeCode Available | 1 |
