| A Theoretical Insight into Attack and Defense of Gradient Leakage in Transformer | Nov 22, 2023 | Privacy Preserving | —Unverified | 0 | 0 |
| A Transfer Learning Framework for Multilayer Networks via Model Averaging | Jun 14, 2025 | Link PredictionPrivacy Preserving | —Unverified | 0 | 0 |
| ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems | Jan 8, 2022 | Federated LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Attention-based Generative Latent Replay: A Continual Learning Approach for WSI Analysis | May 13, 2025 | Continual LearningMultiple Instance Learning | —Unverified | 0 | 0 |
| Audit and Improve Robustness of Private Neural Networks on Encrypted Data | Sep 20, 2022 | Adversarial RobustnessPrivacy Preserving | —Unverified | 0 | 0 |
| Auditing and Generating Synthetic Data with Controllable Trust Trade-offs | Apr 21, 2023 | Model SelectionPrivacy Preserving | —Unverified | 0 | 0 |
| Auditing f-Differential Privacy in One Run | Oct 29, 2024 | Privacy Preserving | —Unverified | 0 | 0 |
| A Unified Framework for Generic, Query-Focused, Privacy Preserving and Update Summarization using Submodular Information Measures | Oct 12, 2020 | Privacy PreservingQuery-focused Summarization | —Unverified | 0 | 0 |
| A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy | Jun 14, 2023 | Node ClassificationPrivacy Preserving | —Unverified | 0 | 0 |
| A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off in Trustworthy Federated Learning | Jul 5, 2024 | Federated LearningNavigate | —Unverified | 0 | 0 |
