| On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models | Mar 12, 2021 | AttributeBIG-bench Machine Learning | —Unverified | 0 |
| On the Privacy Risk of In-context Learning | Nov 15, 2024 | In-Context LearningInference Attack | —Unverified | 0 |
| LTU Attacker for Membership Inference | Feb 4, 2022 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
| Label Inference Attack against Split Learning under Regression Setting | Jan 18, 2023 | Federated LearningInference Attack | CodeCode Available | 0 |
| RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks | Oct 31, 2019 | Inference Attack | CodeCode Available | 0 |
| Data and Model Dependencies of Membership Inference Attack | Feb 17, 2020 | FairnessInference Attack | CodeCode Available | 0 |
| Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deployment | Aug 11, 2022 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
| Privacy Attacks on Image AutoRegressive Models | Feb 4, 2025 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
| Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software Deployment | Jan 2, 2024 | Inference AttackMembership Inference Attack | CodeCode Available | 0 |
| Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning | Nov 29, 2023 | Federated LearningInference Attack | CodeCode Available | 0 |
