| Example-based Explanations for Random Forests using Machine Unlearning | Feb 7, 2024 | FairnessMachine Unlearning | —Unverified | 0 |
| Separable Multi-Concept Erasure from Diffusion Models | Feb 3, 2024 | Image GenerationMachine Unlearning | —Unverified | 0 |
| An Information Theoretic Approach to Machine Unlearning | Feb 2, 2024 | Machine Unlearning | CodeCode Available | 1 |
| Unlearnable Algorithms for In-context Learning | Feb 1, 2024 | In-Context LearningLanguage Modeling | —Unverified | 0 |
| Machine Unlearning for Image-to-Image Generative Models | Feb 1, 2024 | Machine Unlearning | CodeCode Available | 1 |
| Dataset Condensation Driven Machine Unlearning | Jan 31, 2024 | AttributeDataset Condensation | CodeCode Available | 0 |
| CaMU: Disentangling Causal Effects in Deep Model Unlearning | Jan 30, 2024 | Machine Unlearningmodel | CodeCode Available | 0 |
| Towards Effective and General Graph Unlearning via Mutual Evolution | Jan 22, 2024 | Machine Unlearning | CodeCode Available | 0 |
| Contrastive Unlearning: A Contrastive Approach to Machine Unlearning | Jan 19, 2024 | Machine UnlearningRepresentation Learning | —Unverified | 0 |
| Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning | Jan 18, 2024 | Machine Unlearning | CodeCode Available | 0 |
