| From Models to Network Topologies: A Topology Inference Attack in Decentralized Federated Learning | Jan 6, 2025 | Federated LearningInference Attack | —Unverified | 0 |
| GAN-based Domain Inference Attack | Dec 22, 2022 | Generative Adversarial NetworkInference Attack | —Unverified | 0 |
| Efficient Membership Inference Attacks by Bayesian Neural Network | Mar 10, 2025 | Bayesian InferenceInference Attack | —Unverified | 0 |
| Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability | Nov 21, 2019 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Black-Box Training Data Identification in GANs via Detector Networks | Oct 18, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Effectiveness of L2 Regularization in Privacy-Preserving Machine Learning | Dec 2, 2024 | Inference AttackL2 Regularization | —Unverified | 0 |
| EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression | May 21, 2025 | Graph LearningInference Attack | —Unverified | 0 |
| A Blessing of Dimensionality in Membership Inference through Regularization | May 27, 2022 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Bounding Information Leakage in Machine Learning | May 9, 2021 | AttributeBIG-bench Machine Learning | —Unverified | 0 |
| An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms | Jan 28, 2021 | De-identificationInference Attack | —Unverified | 0 |
