| An Efficient Subpopulation-based Membership Inference Attack | Mar 4, 2022 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| User-Level Membership Inference Attack against Metric Embedding Learning | Mar 4, 2022 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Membership Inference Attacks and Defenses in Neural Network Pruning | Feb 7, 2022 | Inference AttackMembership Inference Attack | CodeCode Available | 1 |
| LTU Attacker for Membership Inference | Feb 4, 2022 | Inference AttackMembership Inference 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 |
| A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis | Jan 18, 2022 | Domain AdaptationInference Attack | —Unverified | 0 |
| DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine Learning | Dec 24, 2021 | BIG-bench Machine LearningInference Attack | CodeCode Available | 0 |
| Membership Inference Attacks From First Principles | Dec 7, 2021 | Inference AttackMembership Inference Attack | CodeCode Available | 1 |
| Machine unlearning via GAN | Nov 22, 2021 | Inference AttackMachine Unlearning | —Unverified | 0 |
| Knowledge Cross-Distillation for Membership Privacy | Nov 2, 2021 | Inference AttackKnowledge Distillation | —Unverified | 0 |
