| Graph-Level Label-Only Membership Inference Attack against Graph Neural Networks | Mar 24, 2025 | Graph ClassificationInference Attack | —Unverified | 0 |
| AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models | Feb 4, 2023 | Decision MakingExplainable artificial intelligence | —Unverified | 0 |
| AugMixCloak: A Defense against Membership Inference Attacks via Image Transformation | May 11, 2025 | Data AugmentationFederated 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 |
| A Statistical and Multi-Perspective Revisiting of the Membership Inference Attack in Large Language Models | Dec 18, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk? | Jun 1, 2023 | AttributeInference Attack | —Unverified | 0 |
| Federated Graph Condensation with Information Bottleneck Principles | May 7, 2024 | Graph LearningInference Attack | —Unverified | 0 |
| Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models | May 24, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Holistic risk assessment of inference attacks in machine learning | Dec 15, 2022 | AttributeInference Attack | —Unverified | 0 |
| Do Backdoors Assist Membership Inference Attacks? | Mar 22, 2023 | Inference AttackMembership Inference Attack | —Unverified | 0 |
