| An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization | May 26, 2023 | Audio GenerationInference Attack | CodeCode Available | 1 | 5 |
| Gaussian Membership Inference Privacy | Jun 12, 2023 | Inference AttackMembership Inference Attack | CodeCode Available | 1 | 5 |
| Efficient passive membership inference attack in federated learning | Oct 31, 2021 | Federated LearningInference Attack | CodeCode Available | 1 | 5 |
| Membership Inference Attacks against Diffusion Models | Feb 7, 2023 | Generative Adversarial NetworkInference Attack | CodeCode Available | 1 | 5 |
| Membership Inference Attacks Against Vision-Language Models | Jan 27, 2025 | Inference AttackMembership Inference Attack | CodeCode Available | 1 | 5 |
| Data Contamination Calibration for Black-box LLMs | May 20, 2024 | Inference AttackMembership Inference Attack | CodeCode Available | 1 | 5 |
| Adversarial Privacy Preserving Graph Embedding against Inference Attack | Aug 30, 2020 | Graph EmbeddingInference Attack | CodeCode Available | 1 | 5 |
| Deep Regression Unlearning | Oct 15, 2022 | Inference AttackMachine Unlearning | CodeCode Available | 1 | 5 |
| Active Membership Inference Attack under Local Differential Privacy in Federated Learning | Feb 24, 2023 | Federated LearningInference Attack | CodeCode Available | 1 | 5 |
| Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning | Apr 27, 2020 | BIG-bench Machine LearningFederated Learning | CodeCode Available | 1 | 5 |
