| Differentially Private Steering for Large Language Model Alignment | Jan 30, 2025 | HallucinationInference Attack | CodeCode Available | 0 | 5 |
| Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning | Nov 29, 2023 | Federated LearningInference Attack | CodeCode Available | 0 | 5 |
| A Linear Reconstruction Approach for Attribute Inference Attacks against Synthetic Data | Jan 24, 2023 | AttributeInference Attack | CodeCode Available | 0 | 5 |
| Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach | Nov 6, 2024 | DiversityInference Attack | CodeCode Available | 0 | 5 |
| Investigating Membership Inference Attacks under Data Dependencies | Oct 23, 2020 | BIG-bench Machine LearningInference Attack | CodeCode Available | 0 | 5 |
| Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks | Mar 4, 2024 | Inference AttackPrivacy Preserving | CodeCode Available | 0 | 5 |
| Inferring Sensitive Attributes from Model Explanations | Aug 21, 2022 | AttributeInference Attack | CodeCode Available | 0 | 5 |
| An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models | Aug 17, 2022 | Inference AttackMembership Inference Attack | CodeCode Available | 0 | 5 |
| Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-based Human Activity Recognition | Nov 4, 2024 | Activity RecognitionHuman Activity Recognition | CodeCode Available | 0 | 5 |
| Assessing differentially private deep learning with Membership Inference | Dec 24, 2019 | Deep LearningInference Attack | CodeCode Available | 0 | 5 |
