| MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples | Sep 23, 2019 | Inference AttackMembership Inference 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 From First Principles | Dec 7, 2021 | 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 |
| No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML | Oct 11, 2023 | GPUInference Attack | CodeCode Available | 1 | 5 |
| OLIVE: Oblivious Federated Learning on Trusted Execution Environment against the risk of sparsification | Feb 15, 2022 | Federated LearningInference Attack | CodeCode Available | 1 | 5 |
| Does CLIP Know My Face? | Sep 15, 2022 | Inference Attack | CodeCode Available | 1 | 5 |
| Feature Inference Attack on Model Predictions in Vertical Federated Learning | Oct 20, 2020 | Federated LearningInference Attack | CodeCode Available | 1 | 5 |
| Reinforcement Unlearning | Dec 26, 2023 | Inference AttackMachine Unlearning | CodeCode Available | 1 | 5 |
| When Machine Unlearning Jeopardizes Privacy | May 5, 2020 | Inference AttackMachine Unlearning | CodeCode Available | 1 | 5 |
