| Amicable Aid: Perturbing Images to Improve Classification Performance | Dec 9, 2021 | Adversarial AttackClassification | —Unverified | 0 | 0 |
| AMI-FML: A Privacy-Preserving Federated Machine Learning Framework for AMI | Sep 13, 2021 | BIG-bench Machine Learningenergy management | —Unverified | 0 | 0 |
| Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning | Mar 7, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| A Multiparty Homomorphic Encryption Approach to Confidential Federated Kaplan Meier Survival Analysis | Dec 29, 2024 | Privacy PreservingReconstruction Attack | —Unverified | 0 | 0 |
| A Multivocal Literature Review on Privacy and Fairness in Federated Learning | Aug 16, 2024 | FairnessFederated Learning | —Unverified | 0 | 0 |
| α-Mutual Information: A Tunable Privacy Measure for Privacy Protection in Data Sharing | Oct 27, 2023 | Privacy PreservingTime Series | —Unverified | 0 | 0 |
| An advanced data fabric architecture leveraging homomorphic encryption and federated learning | Feb 15, 2024 | Federated LearningMedical Image Analysis | —Unverified | 0 | 0 |
| An Algorithm for Learning Shape and Appearance Models without Annotations | Jul 27, 2018 | Image RegistrationPrivacy Preserving | —Unverified | 0 | 0 |
| Analysing Fairness of Privacy-Utility Mobility Models | Apr 10, 2023 | FairnessPrivacy Preserving | —Unverified | 0 | 0 |
| Analyzing the Robustness of Decentralized Horizontal and Vertical Federated Learning Architectures in a Non-IID Scenario | Oct 20, 2022 | Data PoisoningFederated Learning | —Unverified | 0 | 0 |
