Saved in:
| Main Authors: | Chen, Junjie, Chen, Qian, Lou, Jian, Zhang, Xiaoyu, Wu, Kai, Wang, Zilong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.06446 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Forgettable Federated Linear Learning with Certified Data Unlearning
by: Jin, Ruinan, et al.
Published: (2023)
by: Jin, Ruinan, et al.
Published: (2023)
CATA: Continual Machine Unlearning via Conflict-Averse Task Arithmetic
by: Lin, Shen, et al.
Published: (2026)
by: Lin, Shen, et al.
Published: (2026)
Machine Unlearning for Image-to-Image Generative Models
by: Li, Guihong, et al.
Published: (2024)
by: Li, Guihong, et al.
Published: (2024)
Erase at the Core: Representation Unlearning for Machine Unlearning
by: Lee, Jaewon, et al.
Published: (2026)
by: Lee, Jaewon, et al.
Published: (2026)
Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure
by: Xue, Lulu, et al.
Published: (2025)
by: Xue, Lulu, et al.
Published: (2025)
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models
by: Chen, Tianqi, et al.
Published: (2024)
by: Chen, Tianqi, et al.
Published: (2024)
Machine Unlearning for Medical Imaging
by: Nasirigerdeh, Reza, et al.
Published: (2024)
by: Nasirigerdeh, Reza, et al.
Published: (2024)
Loss-Free Machine Unlearning
by: Foster, Jack, et al.
Published: (2024)
by: Foster, Jack, et al.
Published: (2024)
Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning
by: Patel, Gaurav, et al.
Published: (2025)
by: Patel, Gaurav, et al.
Published: (2025)
Rapid Plug-in Defenders
by: Wu, Kai, et al.
Published: (2023)
by: Wu, Kai, et al.
Published: (2023)
Prompting Forgetting: Unlearning in GANs via Textual Guidance
by: Nagasubramaniam, Piyush, et al.
Published: (2025)
by: Nagasubramaniam, Piyush, et al.
Published: (2025)
IMU: Influence-guided Machine Unlearning
by: Fan, Xindi, et al.
Published: (2025)
by: Fan, Xindi, et al.
Published: (2025)
Learning to Unlearn for Robust Machine Unlearning
by: Huang, Mark He, et al.
Published: (2024)
by: Huang, Mark He, et al.
Published: (2024)
LetheViT: Selective Machine Unlearning for Vision Transformers via Attention-Guided Contrastive Learning
by: Tong, Yujia, et al.
Published: (2025)
by: Tong, Yujia, et al.
Published: (2025)
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification
by: Sun, Changchang, et al.
Published: (2024)
by: Sun, Changchang, et al.
Published: (2024)
FG-OrIU: Towards Better Forgetting via Feature-Gradient Orthogonality for Incremental Unlearning
by: Feng, Qian, et al.
Published: (2026)
by: Feng, Qian, et al.
Published: (2026)
Bias Redistribution in Visual Machine Unlearning: Does Forgetting One Group Harm Another?
by: Haruna, Yunusa, et al.
Published: (2026)
by: Haruna, Yunusa, et al.
Published: (2026)
Freeplane: Unlocking Free Lunch in Triplane-Based Sparse-View Reconstruction Models
by: Sun, Wenqiang, et al.
Published: (2024)
by: Sun, Wenqiang, et al.
Published: (2024)
Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA
by: Qin, Laiqiao, et al.
Published: (2024)
by: Qin, Laiqiao, et al.
Published: (2024)
NoT: Federated Unlearning via Weight Negation
by: Khalil, Yasser H., et al.
Published: (2025)
by: Khalil, Yasser H., et al.
Published: (2025)
Lifting Data-Tracing Machine Unlearning to Knowledge-Tracing for Foundation Models
by: Tan, Yuwen, et al.
Published: (2025)
by: Tan, Yuwen, et al.
Published: (2025)
Machine Unlearning in the Era of Quantum Machine Learning: An Empirical Study
by: Crivoi, Carla, et al.
Published: (2025)
by: Crivoi, Carla, et al.
Published: (2025)
One-Shot Machine Unlearning with Mnemonic Code
by: Yamashita, Tomoya, et al.
Published: (2023)
by: Yamashita, Tomoya, et al.
Published: (2023)
Corrective Machine Unlearning
by: Goel, Shashwat, et al.
Published: (2024)
by: Goel, Shashwat, et al.
Published: (2024)
Are We Truly Forgetting? A Critical Re-examination of Machine Unlearning Evaluation Protocols
by: Kim, Yongwoo, et al.
Published: (2025)
by: Kim, Yongwoo, et al.
Published: (2025)
Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking
by: Deng, Kaiyuan, et al.
Published: (2026)
by: Deng, Kaiyuan, et al.
Published: (2026)
Metric Unreliability in Multimodal Machine Unlearning: A Systematic Analysis and Principled Unified Score
by: Khan, Abdullah Ahmad, et al.
Published: (2026)
by: Khan, Abdullah Ahmad, et al.
Published: (2026)
Verifying Robust Unlearning: Probing Residual Knowledge in Unlearned Models
by: Xuan, Hao, et al.
Published: (2025)
by: Xuan, Hao, et al.
Published: (2025)
Unlearning the Unpromptable: Prompt-free Instance Unlearning in Diffusion Models
by: Lee, Kyungryeol, et al.
Published: (2026)
by: Lee, Kyungryeol, et al.
Published: (2026)
MultiDelete for Multimodal Machine Unlearning
by: Cheng, Jiali, et al.
Published: (2023)
by: Cheng, Jiali, et al.
Published: (2023)
ViT-MUL: A Baseline Study on Recent Machine Unlearning Methods Applied to Vision Transformers
by: Cho, Ikhyun, et al.
Published: (2024)
by: Cho, Ikhyun, et al.
Published: (2024)
Attack and Reset for Unlearning: Exploiting Adversarial Noise toward Machine Unlearning through Parameter Re-initialization
by: Jung, Yoonhwa, et al.
Published: (2024)
by: Jung, Yoonhwa, et al.
Published: (2024)
Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI
by: Spartalis, Christoforos N., et al.
Published: (2025)
by: Spartalis, Christoforos N., et al.
Published: (2025)
Partially Blinded Unlearning: Class Unlearning for Deep Networks a Bayesian Perspective
by: Panda, Subhodip, et al.
Published: (2024)
by: Panda, Subhodip, et al.
Published: (2024)
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images
by: Wang, Sheng-Yu, et al.
Published: (2024)
by: Wang, Sheng-Yu, et al.
Published: (2024)
Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images
by: Bonato, Jacopo, et al.
Published: (2024)
by: Bonato, Jacopo, et al.
Published: (2024)
SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation
by: Zhang, Junjie, et al.
Published: (2024)
by: Zhang, Junjie, et al.
Published: (2024)
Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery
by: Chang, Ching-Chun, et al.
Published: (2024)
by: Chang, Ching-Chun, et al.
Published: (2024)
Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearning
by: Pan, Zhixin, et al.
Published: (2024)
by: Pan, Zhixin, et al.
Published: (2024)
Unified Triplet-Level Hallucination Evaluation for Large Vision-Language Models
by: Wu, Junjie, et al.
Published: (2024)
by: Wu, Junjie, et al.
Published: (2024)
Similar Items
-
Forgettable Federated Linear Learning with Certified Data Unlearning
by: Jin, Ruinan, et al.
Published: (2023) -
CATA: Continual Machine Unlearning via Conflict-Averse Task Arithmetic
by: Lin, Shen, et al.
Published: (2026) -
Machine Unlearning for Image-to-Image Generative Models
by: Li, Guihong, et al.
Published: (2024) -
Erase at the Core: Representation Unlearning for Machine Unlearning
by: Lee, Jaewon, et al.
Published: (2026) -
Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure
by: Xue, Lulu, et al.
Published: (2025)