| Prompt-based Unifying Inference Attack on Graph Neural Networks | Dec 20, 2024 | DisentanglementInference Attack | —Unverified | 0 |
| Property inference attack; Graph neural networks; Privacy attacks and defense; Trustworthy machine learning | Sep 2, 2022 | Inference Attack | —Unverified | 0 |
| Purifier: Defending Data Inference Attacks via Transforming Confidence Scores | Dec 1, 2022 | AttributeInference Attack | —Unverified | 0 |
| Quantifying (Hyper) Parameter Leakage in Machine Learning | Oct 31, 2019 | BIG-bench Machine LearningInference Attack | —Unverified | 0 |
| Quantifying Membership Inference Vulnerability via Generalization Gap and Other Model Metrics | Sep 11, 2020 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks | Mar 8, 2022 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Ranking Differential Privacy | Jan 2, 2023 | Inference Attack | —Unverified | 0 |
| ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods | Jun 23, 2024 | Inference AttackLanguage Modeling | —Unverified | 0 |
| Membership Privacy for Machine Learning Models Through Knowledge Transfer | Jun 15, 2019 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 |
| RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense | Apr 11, 2023 | Adversarial AttackAttribute | —Unverified | 0 |
