| A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications | Aug 31, 2023 | Privacy Preserving | CodeCode Available | 1 |
| BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities | Jan 24, 2025 | Brain DecodingImage Reconstruction | CodeCode Available | 1 |
| Differentially Private Federated Learning: A Client Level Perspective | Dec 20, 2017 | Federated LearningPrivacy Preserving | CodeCode Available | 1 |
| DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation | Feb 26, 2020 | Privacy PreservingSensitivity | 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 |
| DistFL: Distribution-aware Federated Learning for Mobile Scenarios | Oct 22, 2021 | Federated LearningPrivacy Preserving | CodeCode Available | 1 |
| Domain-Invariant Representation Learning from EEG with Private Encoders | Jan 27, 2022 | EEGElectroencephalogram (EEG) | CodeCode Available | 1 |
| DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer | Nov 27, 2023 | In-Context LearningLanguage Modeling | CodeCode Available | 1 |
| Defending against Backdoors in Federated Learning with Robust Learning Rate | Jul 7, 2020 | Backdoor AttackFederated Learning | CodeCode Available | 1 |
| KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation | Nov 19, 2020 | Domain AdaptationKnowledge Distillation | CodeCode Available | 1 |
