| AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models | Feb 4, 2023 | Decision MakingExplainable artificial intelligence | —Unverified | 0 | 0 |
| A Zero Auxiliary Knowledge Membership Inference Attack on Aggregate Location Data | Jun 26, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| A Blessing of Dimensionality in Membership Inference through Regularization | May 27, 2022 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Black-Box Training Data Identification in GANs via Detector Networks | Oct 18, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Bounding Information Leakage in Machine Learning | May 9, 2021 | AttributeBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature | Jul 3, 2024 | Deep LearningInference Attack | —Unverified | 0 | 0 |
| DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks | May 16, 2020 | Domain AdaptationInference Attack | —Unverified | 0 | 0 |
| Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models | Jun 18, 2024 | FairnessInference Attack | —Unverified | 0 | 0 |
| Defending Model Inversion and Membership Inference Attacks via Prediction Purification | May 8, 2020 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| De-identification is not always enough | Jan 31, 2024 | De-identificationInference Attack | —Unverified | 0 | 0 |
| Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation | Jan 18, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Differentially Private Data Generative Models | Dec 6, 2018 | BIG-bench Machine LearningFederated Learning | —Unverified | 0 | 0 |
| Do Backdoors Assist Membership Inference Attacks? | Mar 22, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk? | Jun 1, 2023 | AttributeInference Attack | —Unverified | 0 | 0 |
| DP-GPL: Differentially Private Graph Prompt Learning | Mar 13, 2025 | Inference AttackMembership Inference 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 |
| Epsilon*: Privacy Metric for Machine Learning Models | Jul 21, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment | Jul 8, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Federated Graph Condensation with Information Bottleneck Principles | May 7, 2024 | Graph LearningInference Attack | —Unverified | 0 | 0 |
| Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models | May 24, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
| Graph-Level Label-Only Membership Inference Attack against Graph Neural Networks | Mar 24, 2025 | Graph ClassificationInference Attack | —Unverified | 0 | 0 |
| Holistic risk assessment of inference attacks in machine learning | Dec 15, 2022 | AttributeInference Attack | —Unverified | 0 | 0 |
| Identity-Focused Inference and Extraction Attacks on Diffusion Models | Oct 14, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 | 0 |
