| Protecting Global Properties of Datasets with Distribution Privacy Mechanisms | Jul 18, 2022 | AttributeInference Attack | CodeCode Available | 0 |
| Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach | Nov 6, 2024 | DiversityInference Attack | CodeCode Available | 0 |
| Disparate Vulnerability to Membership Inference Attacks | Jun 2, 2019 | BIG-bench Machine LearningFairness | CodeCode Available | 0 |
| Quantifying identifiability to choose and audit ε in differentially private deep learning | Mar 4, 2021 | BIG-bench Machine LearningInference Attack | CodeCode Available | 0 |
| Enhancing Real-World Adversarial Patches through 3D Modeling of Complex Target Scenes | Feb 10, 2021 | Adversarial AttackInference Attack | CodeCode Available | 0 |
| SLMIA-SR: Speaker-Level Membership Inference Attacks against Speaker Recognition Systems | Sep 14, 2023 | Feature EngineeringInference Attack | CodeCode Available | 0 |
| MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning | Nov 28, 2023 | Federated LearningInference Attack | CodeCode Available | 0 |
| DUCK: Distance-based Unlearning via Centroid Kinematics | Dec 4, 2023 | Inference AttackMachine Unlearning | CodeCode Available | 0 |
| SNAP: Efficient Extraction of Private Properties with Poisoning | Aug 25, 2022 | Inference Attack | CodeCode Available | 0 |
| DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine Learning | Dec 24, 2021 | BIG-bench Machine LearningInference Attack | CodeCode Available | 0 |
| Do Parameters Reveal More than Loss for Membership Inference? | Jun 17, 2024 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
| Automatic Calibration for Membership Inference Attack on Large Language Models | May 6, 2025 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
| The Mosaic Memory of Large Language Models | May 24, 2024 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
| Assessing differentially private deep learning with Membership Inference | Dec 24, 2019 | Deep LearningInference Attack | CodeCode Available | 0 |
| DocMIA: Document-Level Membership Inference Attacks against DocVQA Models | Feb 6, 2025 | document understandingInference Attack | CodeCode Available | 0 |
| Dissecting Distribution Inference | Dec 15, 2022 | Inference Attack | CodeCode Available | 0 |
| Understanding Membership Inferences on Well-Generalized Learning Models | Feb 13, 2018 | BIG-bench Machine LearningInference Attack | CodeCode Available | 0 |
| Reconstruction and Membership Inference Attacks against Generative Models | Jun 7, 2019 | Density EstimationInference Attack | CodeCode Available | 0 |
| Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-based Human Activity Recognition | Nov 4, 2024 | Activity RecognitionHuman Activity Recognition | CodeCode Available | 0 |
| An Empirical Study on the Intrinsic Privacy of SGD | Dec 5, 2019 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
| A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models | Aug 23, 2023 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
| On the privacy-utility trade-off in differentially private hierarchical text classification | Mar 4, 2021 | General ClassificationInference Attack | CodeCode Available | 0 |
| Apollo: A Posteriori Label-Only Membership Inference Attack Towards Machine Unlearning | Jun 11, 2025 | Inference AttackMachine Unlearning | CodeCode Available | 0 |
| When Better Features Mean Greater Risks: The Performance-Privacy Trade-Off in Contrastive Learning | Jun 6, 2025 | Contrastive LearningInference Attack | CodeCode Available | 0 |
| Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference | Feb 2, 2022 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
