Saved in:
| Main Authors: | Falcao, Andreza M. C., Cordeiro, Filipe R. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.23854 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Data Augmentation Improves Machine Unlearning
by: Falcao, Andreza M. C., et al.
Published: (2025)
by: Falcao, Andreza M. C., et al.
Published: (2025)
Analise de Desaprendizado de Maquina em Modelos de Classificacao de Imagens Medicas
by: Falcao, Andreza M. C., et al.
Published: (2025)
by: Falcao, Andreza M. C., et al.
Published: (2025)
Risk-Aware Robust Learning: Reducing Clinical Risk under Label Noise in Medical Image Classification
by: Pereira, Maycon R. S., et al.
Published: (2026)
by: Pereira, Maycon R. S., et al.
Published: (2026)
Deep Unlearn: Benchmarking Machine Unlearning for Image Classification
by: Cadet, Xavier F., et al.
Published: (2024)
by: Cadet, Xavier F., et al.
Published: (2024)
Machine Unlearning for Document Classification
by: Kang, Lei, et al.
Published: (2024)
by: Kang, Lei, et al.
Published: (2024)
Does Machine Unlearning Truly Remove Knowledge?
by: Chen, Haokun, et al.
Published: (2025)
by: Chen, Haokun, et al.
Published: (2025)
A Comparative Study of Machine Unlearning Techniques for Image and Text Classification Models
by: Safa, Omar M., et al.
Published: (2024)
by: Safa, Omar M., et al.
Published: (2024)
Open Problems in Machine Unlearning for AI Safety
by: Barez, Fazl, et al.
Published: (2025)
by: Barez, Fazl, et al.
Published: (2025)
Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery
by: Zhou, Shiji, et al.
Published: (2025)
by: Zhou, Shiji, et al.
Published: (2025)
An Adversarial Perspective on Machine Unlearning for AI Safety
by: Łucki, Jakub, et al.
Published: (2024)
by: Łucki, Jakub, 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)
Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models
by: Li, Jiaqi, et al.
Published: (2024)
by: Li, Jiaqi, et al.
Published: (2024)
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
by: Fan, Chongyu, et al.
Published: (2023)
by: Fan, Chongyu, et al.
Published: (2023)
A Survey of Machine Unlearning
by: Nguyen, Thanh Tam, et al.
Published: (2022)
by: Nguyen, Thanh Tam, et al.
Published: (2022)
Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-Tuning and Can Be Mitigated by Machine Unlearning
by: Chen, Yiwei, et al.
Published: (2025)
by: Chen, Yiwei, et al.
Published: (2025)
Relationship-Aware Safety Unlearning for Multimodal LLMs
by: Anilkumar, Vishnu Narayanan, et al.
Published: (2026)
by: Anilkumar, Vishnu Narayanan, et al.
Published: (2026)
Machine Unlearning of Traffic State Estimation and Prediction
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, et al.
Published: (2025)
Machine Unlearning: A Comprehensive Survey
by: Wang, Weiqi, et al.
Published: (2024)
by: Wang, Weiqi, et al.
Published: (2024)
Agentic Unlearning: When LLM Agent Meets Machine Unlearning
by: Wang, Bin, et al.
Published: (2026)
by: Wang, Bin, et al.
Published: (2026)
Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases
by: Han, Ling, et al.
Published: (2024)
by: Han, Ling, et al.
Published: (2024)
Machine Unlearning: Solutions and Challenges
by: Xu, Jie, et al.
Published: (2023)
by: Xu, Jie, et al.
Published: (2023)
Machine Unlearning under Overparameterization
by: Block, Jacob L., et al.
Published: (2025)
by: Block, Jacob L., et al.
Published: (2025)
Group-robust Machine Unlearning
by: De Min, Thomas, et al.
Published: (2025)
by: De Min, Thomas, et al.
Published: (2025)
Soft Weighted Machine Unlearning
by: Qiao, Xinbao, et al.
Published: (2025)
by: Qiao, Xinbao, et al.
Published: (2025)
Machine Unlearning in Contrastive Learning
by: Wang, Zixin, et al.
Published: (2024)
by: Wang, Zixin, et al.
Published: (2024)
Safety Alignment via Constrained Knowledge Unlearning
by: Shi, Zesheng, et al.
Published: (2025)
by: Shi, Zesheng, et al.
Published: (2025)
RULER: Representation-Level Verification of Machine Unlearning
by: Cosma, Georgina, et al.
Published: (2026)
by: Cosma, Georgina, et al.
Published: (2026)
A More Practical Approach to Machine Unlearning
by: Zagardo, David
Published: (2024)
by: Zagardo, David
Published: (2024)
Rethinking Machine Unlearning in Image Generation Models
by: Liu, Renyang, et al.
Published: (2025)
by: Liu, Renyang, et al.
Published: (2025)
Uncovering the Potential Risks in Unlearning: Danger of English-only Unlearning in Multilingual LLMs
by: Hwang, Kyomin, et al.
Published: (2025)
by: Hwang, Kyomin, et al.
Published: (2025)
Multi-Class Unlearning for Image Classification via Weight Filtering
by: Poppi, Samuele, et al.
Published: (2023)
by: Poppi, Samuele, et al.
Published: (2023)
Towards Reliable Testing of Machine Unlearning
by: Mazhar, Anna, et al.
Published: (2026)
by: Mazhar, Anna, et al.
Published: (2026)
SIMU: Selective Influence Machine Unlearning
by: Agarwal, Anu, et al.
Published: (2025)
by: Agarwal, Anu, et al.
Published: (2025)
Debiasing Machine Unlearning with Counterfactual Examples
by: Chen, Ziheng, et al.
Published: (2024)
by: Chen, Ziheng, et al.
Published: (2024)
An Information Theoretic Approach to Machine Unlearning
by: Foster, Jack, et al.
Published: (2024)
by: Foster, Jack, et al.
Published: (2024)
Verifying Machine Unlearning with Explainable AI
by: Vidal, Àlex Pujol, et al.
Published: (2024)
by: Vidal, Àlex Pujol, et al.
Published: (2024)
Machine Unlearning in Large Language Models
by: Gundavarapu, Saaketh Koundinya, et al.
Published: (2024)
by: Gundavarapu, Saaketh Koundinya, et al.
Published: (2024)
Machine Unlearning with Minimal Gradient Dependence for High Unlearning Ratios
by: Huang, Tao, et al.
Published: (2024)
by: Huang, Tao, et al.
Published: (2024)
CLiGNet: Clinical Label-Interaction Graph Network for Medical Specialty Classification from Clinical Transcriptions
by: Barman, Pronob Kumar, et al.
Published: (2026)
by: Barman, Pronob Kumar, et al.
Published: (2026)
Exploring Nonlinear Pathway in Parameter Space for Machine Unlearning
by: Shi, Yingdan, et al.
Published: (2025)
by: Shi, Yingdan, et al.
Published: (2025)
Similar Items
-
Data Augmentation Improves Machine Unlearning
by: Falcao, Andreza M. C., et al.
Published: (2025) -
Analise de Desaprendizado de Maquina em Modelos de Classificacao de Imagens Medicas
by: Falcao, Andreza M. C., et al.
Published: (2025) -
Risk-Aware Robust Learning: Reducing Clinical Risk under Label Noise in Medical Image Classification
by: Pereira, Maycon R. S., et al.
Published: (2026) -
Deep Unlearn: Benchmarking Machine Unlearning for Image Classification
by: Cadet, Xavier F., et al.
Published: (2024) -
Machine Unlearning for Document Classification
by: Kang, Lei, et al.
Published: (2024)