| DP-GPL: Differentially Private Graph Prompt Learning | Mar 13, 2025 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Eavesdrop the Composition Proportion of Training Labels in Federated Learning | Oct 14, 2019 | Federated LearningInference Attack | —Unverified | 0 | 0 |
| EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression | May 21, 2025 | Graph LearningInference Attack | —Unverified | 0 | 0 |
| Effectiveness of L2 Regularization in Privacy-Preserving Machine Learning | Dec 2, 2024 | Inference AttackL2 Regularization | —Unverified | 0 | 0 |
| Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability | Nov 21, 2019 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Efficient Membership Inference Attacks by Bayesian Neural Network | Mar 10, 2025 | Bayesian InferenceInference Attack | —Unverified | 0 | 0 |
| Eliminating Label Leakage in Tree-Based Vertical Federated Learning | Jul 19, 2023 | Federated LearningInference Attack | —Unverified | 0 | 0 |
| Epsilon*: Privacy Metric for Machine Learning Models | Jul 21, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Evaluation of Inference Attack Models for Deep Learning on Medical Data | Oct 31, 2020 | AttributeDeep Learning | —Unverified | 0 | 0 |
| EXPLORING VULNERABILITIES OF BERT-BASED APIS | Jan 1, 2021 | AttributeInference Attack | —Unverified | 0 | 0 |
