Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement
Fuente:
arXiv
Guardado en:
| Autores principales: | Huang, Zhehao, Cheng, Xinwen, Zheng, JingHao, Wang, Haoran, He, Zhengbao, Li, Tao, Huang, Xiaolin |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Towards Natural Machine Unlearning
por: He, Zhengbao, et al.
Publicado: (2024)
por: He, Zhengbao, et al.
Publicado: (2024)
Remaining-data-free Machine Unlearning by Suppressing Sample Contribution
por: Cheng, Xinwen, et al.
Publicado: (2024)
por: Cheng, Xinwen, et al.
Publicado: (2024)
A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning
por: Huang, Zhehao, et al.
Publicado: (2025)
por: Huang, Zhehao, et al.
Publicado: (2025)
Compensation-free Machine Unlearning in Text-to-Image Diffusion Models by Eliminating the Mutual Information
por: Cheng, Xinwen, et al.
Publicado: (2026)
por: Cheng, Xinwen, et al.
Publicado: (2026)
Machine Unlearning with Minimal Gradient Dependence for High Unlearning Ratios
por: Huang, Tao, et al.
Publicado: (2024)
por: Huang, Tao, et al.
Publicado: (2024)
Bi-LoRA: Efficient Sharpness-Aware Minimization for Fine-Tuning Large-Scale Models
por: Liu, Yuhang, et al.
Publicado: (2025)
por: Liu, Yuhang, et al.
Publicado: (2025)
T2I-ConBench: Text-to-Image Benchmark for Continual Post-training
por: Huang, Zhehao, et al.
Publicado: (2025)
por: Huang, Zhehao, et al.
Publicado: (2025)
Friendly Sharpness-Aware Minimization
por: Li, Tao, et al.
Publicado: (2024)
por: Li, Tao, et al.
Publicado: (2024)
DRAGD: A Federated Unlearning Data Reconstruction Attack Based on Gradient Differences
por: Ju, Bocheng, et al.
Publicado: (2025)
por: Ju, Bocheng, et al.
Publicado: (2025)
MUSO: Achieving Exact Machine Unlearning in Over-Parameterized Regimes
por: Yang, Ruikai, et al.
Publicado: (2024)
por: Yang, Ruikai, et al.
Publicado: (2024)
Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases
por: Han, Ling, et al.
Publicado: (2024)
por: Han, Ling, et al.
Publicado: (2024)
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
por: Shaik, Thanveer, et al.
Publicado: (2023)
por: Shaik, Thanveer, et al.
Publicado: (2023)
Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery
por: Zhou, Shiji, et al.
Publicado: (2025)
por: Zhou, Shiji, et al.
Publicado: (2025)
Soft Weighted Machine Unlearning
por: Qiao, Xinbao, et al.
Publicado: (2025)
por: Qiao, Xinbao, et al.
Publicado: (2025)
Feature-Selective Representation Misdirection for Machine Unlearning
por: Chen, Taozhao, et al.
Publicado: (2025)
por: Chen, Taozhao, et al.
Publicado: (2025)
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection
por: Wu, Yingwen, et al.
Publicado: (2024)
por: Wu, Yingwen, et al.
Publicado: (2024)
Unified Parameter-Efficient Unlearning for LLMs
por: Ding, Chenlu, et al.
Publicado: (2024)
por: Ding, Chenlu, et al.
Publicado: (2024)
RAIN-Merging: A Gradient-Free Method to Enhance Instruction Following in Large Reasoning Models with Preserved Thinking Format
por: Huang, Zhehao, et al.
Publicado: (2026)
por: Huang, Zhehao, et al.
Publicado: (2026)
Towards Independence Criterion in Machine Unlearning of Features and Labels
por: Han, Ling, et al.
Publicado: (2024)
por: Han, Ling, et al.
Publicado: (2024)
Losing is for Cherishing: Data Valuation Based on Machine Unlearning and Shapley Value
por: Ma, Le, et al.
Publicado: (2025)
por: Ma, Le, et al.
Publicado: (2025)
Debiasing Machine Unlearning with Counterfactual Examples
por: Chen, Ziheng, et al.
Publicado: (2024)
por: Chen, Ziheng, et al.
Publicado: (2024)
VL-RouterBench: A Benchmark for Vision-Language Model Routing
por: Huang, Zhehao, et al.
Publicado: (2025)
por: Huang, Zhehao, et al.
Publicado: (2025)
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning
por: Shaik, Thanveer, et al.
Publicado: (2023)
por: Shaik, Thanveer, et al.
Publicado: (2023)
Trainable Weight Averaging: Accelerating Training and Improving Generalization
por: Li, Tao, et al.
Publicado: (2022)
por: Li, Tao, et al.
Publicado: (2022)
Machine Unlearning in Low-Dimensional Feature Subspace
por: Fang, Kun, et al.
Publicado: (2026)
por: Fang, Kun, et al.
Publicado: (2026)
Auditing Approximate Machine Unlearning for Differentially Private Models
por: Gu, Yuechun, et al.
Publicado: (2025)
por: Gu, Yuechun, et al.
Publicado: (2025)
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning
por: Cheng, Jiali, et al.
Publicado: (2024)
por: Cheng, Jiali, et al.
Publicado: (2024)
Deep Unlearn: Benchmarking Machine Unlearning for Image Classification
por: Cadet, Xavier F., et al.
Publicado: (2024)
por: Cadet, Xavier F., et al.
Publicado: (2024)
Automated Machine Learning for Remaining Useful Life Predictions
por: Zöller, Marc-André, et al.
Publicado: (2023)
por: Zöller, Marc-André, et al.
Publicado: (2023)
Exploring Incremental Unlearning: Techniques, Challenges, and Future Directions
por: Qureshi, Sadia, et al.
Publicado: (2025)
por: Qureshi, Sadia, et al.
Publicado: (2025)
Agentic Unlearning: When LLM Agent Meets Machine Unlearning
por: Wang, Bin, et al.
Publicado: (2026)
por: Wang, Bin, et al.
Publicado: (2026)
Machine Unlearning: Solutions and Challenges
por: Xu, Jie, et al.
Publicado: (2023)
por: Xu, Jie, et al.
Publicado: (2023)
Machine Unlearning under Overparameterization
por: Block, Jacob L., et al.
Publicado: (2025)
por: Block, Jacob L., et al.
Publicado: (2025)
Group-robust Machine Unlearning
por: De Min, Thomas, et al.
Publicado: (2025)
por: De Min, Thomas, et al.
Publicado: (2025)
A Survey of Machine Unlearning
por: Nguyen, Thanh Tam, et al.
Publicado: (2022)
por: Nguyen, Thanh Tam, et al.
Publicado: (2022)
Machine Unlearning in Contrastive Learning
por: Wang, Zixin, et al.
Publicado: (2024)
por: Wang, Zixin, et al.
Publicado: (2024)
Enhancing DP-SGD through Non-monotonous Adaptive Scaling Gradient Weight
por: Huang, Tao, et al.
Publicado: (2024)
por: Huang, Tao, et al.
Publicado: (2024)
Towards Aligned Data Removal via Twin Machine Unlearning
por: Ji, Haoxuan, et al.
Publicado: (2024)
por: Ji, Haoxuan, et al.
Publicado: (2024)
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
por: Fan, Chongyu, et al.
Publicado: (2023)
por: Fan, Chongyu, et al.
Publicado: (2023)
FUTURE: Flexible Unlearning for Tree Ensemble
por: Chen, Ziheng, et al.
Publicado: (2025)
por: Chen, Ziheng, et al.
Publicado: (2025)
Ejemplares similares
-
Towards Natural Machine Unlearning
por: He, Zhengbao, et al.
Publicado: (2024) -
Remaining-data-free Machine Unlearning by Suppressing Sample Contribution
por: Cheng, Xinwen, et al.
Publicado: (2024) -
A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning
por: Huang, Zhehao, et al.
Publicado: (2025) -
Compensation-free Machine Unlearning in Text-to-Image Diffusion Models by Eliminating the Mutual Information
por: Cheng, Xinwen, et al.
Publicado: (2026) -
Machine Unlearning with Minimal Gradient Dependence for High Unlearning Ratios
por: Huang, Tao, et al.
Publicado: (2024)