arXiv:2606. 29832v1 Announce Type: new Abstract: Machine unlearning aims to eliminate the influence of specific data from trained models to safeguard privacy.
By Yiting Hu, Lingjie Duan, Qian Zhang
arXiv:2505. 12239v2 Announce Type: replace-cross Abstract: In Continual Learning (CL), using a Pre-Trained Model (PTM) as the feature extractor has become a popular practice.
By Yajiang Huang, Jianheng Tang, Kejia Fan, Huiping Zhuang, Anfeng Liu, Tian Wang, Yunhuai Liu, Mianxiong Dong, Houbing Herbert Song
The paper introduces Continual Orthogonal Projection (COP), a gradient‑projection method that limits each unlearning update to the orthogonal complement of previously cached activation subspaces, thereby preventing interference between successive deletions. COP requires only a low‑rank basis per layer, avoiding the need for past gradients or previous forget sets, and can be applied to any differentiable‑loss unlearning method without altering its objective. Experiments on TOFU and RWKU benchmarks demonstrate that COP maintains model utility across sequential unlearning requests while preserving forgetting effectiveness and preventing collapse of standard objectives.
arXiv:2412. 09119v3 Announce Type: replace Abstract: Machine unlearning, the process of selectively removing data from trained models, is increasingly crucial for addressing privacy concerns and knowledge gaps post-deployment.
By Youssef Allouah, Joshua Kazdan, Rachid Guerraoui, Sanmi Koyejo
arXiv:2606. 03808v1 Announce Type: cross Abstract: We propose PURGE, a machine unlearning algorithm built on a simple but an under-exploited observation: continual learning (CL) and machine unlearning (MU) which are fundamentally dual problems.
By Vedant Jawandhia, Daksh Ahuja, Ghufran Alam Siddiqui, Prashant Trivedi, Yash Sinha, Pratik Narang
arXiv:2511. 08226v2 Announce Type: replace Abstract: In order to achieve Continual Learning (CL), the problem of catastrophic forgetting, one that has plagued neural networks since their inception, must be overcome.
By Rapha\"el Bayle, Martial Mermillod, Robert M. French