Multi-Objective Reference-Aligned Machine Unlearning
Fuente:
arXiv
Saved in:
| Main Authors: | Khosrowshahli, Rasa, Asobiela, Stephen, Ombuki-Berman, Beatrice, Rahnamayan, Shahryar |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Massive Dimensions Reduction and Hybridization with Meta-heuristics in Deep Learning
by: Khosrowshahli, Rasa, et al.
Published: (2024)
by: Khosrowshahli, Rasa, et al.
Published: (2024)
A Novel Structure-Agnostic Multi-Objective Approach for Weight-Sharing Compression in Deep Neural Networks
by: Khosrowshahli, Rasa, et al.
Published: (2025)
by: Khosrowshahli, Rasa, et al.
Published: (2025)
Large-scale Multi-objective Feature Selection: A Multi-phase Search Space Shrinking Approach
by: Bidgoli, Azam Asilian, et al.
Published: (2024)
by: Bidgoli, Azam Asilian, et al.
Published: (2024)
Optimization Strategies for Enhancing Resource Efficiency in Transformers & Large Language Models
by: Wallace, Tom, et al.
Published: (2025)
by: Wallace, Tom, et al.
Published: (2025)
Beyond Morphology: Quantifying the Diagnostic Power of Color Features in Cancer Classification
by: Kheiri, Farnaz, et al.
Published: (2026)
by: Kheiri, Farnaz, et al.
Published: (2026)
Multi-objective Binary Coordinate Search for Feature Selection
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024)
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024)
Compact NSGA-II for Multi-objective Feature Selection
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024)
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024)
Reference-Guided Machine Unlearning
by: Mirlach, Jonas, et al.
Published: (2026)
by: Mirlach, Jonas, et al.
Published: (2026)
Training Artificial Neural Networks by Coordinate Search Algorithm
by: Rokhsatyazdi, Ehsan, et al.
Published: (2024)
by: Rokhsatyazdi, Ehsan, et al.
Published: (2024)
Towards Aligned Data Forgetting via Twin Machine Unlearning
by: Niu, Zhenxing, et al.
Published: (2025)
by: Niu, Zhenxing, et al.
Published: (2025)
Aligned Multi Objective Optimization
by: Efroni, Yonathan, et al.
Published: (2025)
by: Efroni, Yonathan, et al.
Published: (2025)
Towards Aligned Data Removal via Twin Machine Unlearning
by: Ji, Haoxuan, et al.
Published: (2024)
by: Ji, Haoxuan, et al.
Published: (2024)
Multi-Objective Large Language Model Unlearning
by: Pan, Zibin, et al.
Published: (2024)
by: Pan, Zibin, et al.
Published: (2024)
Align-then-Unlearn: Embedding Alignment for LLM Unlearning
by: Spohn, Philipp, et al.
Published: (2025)
by: Spohn, Philipp, et al.
Published: (2025)
Simple Optimizers for Convex Aligned Multi-Objective Optimization
by: Kretzu, Ben, et al.
Published: (2025)
by: Kretzu, Ben, et al.
Published: (2025)
How Hard Can It Be? Hardness-Aware Multi-Objective Unlearning
by: Chen, Jiangwei, et al.
Published: (2026)
by: Chen, Jiangwei, et al.
Published: (2026)
Enhancing Diversity in Multi-objective Feature Selection
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024)
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024)
Split Algorithm in Linear Time for the Vehicle Routing Problem with Simultaneous Pickup and Delivery and Time Windows
by: Gibbons, Ethan, et al.
Published: (2026)
by: Gibbons, Ethan, et al.
Published: (2026)
Improving Unlearning with Model Updates Probably Aligned with Gradients
by: Dine, Virgile, et al.
Published: (2025)
by: Dine, Virgile, et al.
Published: (2025)
Machine Unlearning using a Multi-GAN based Model
by: Hatua, Amartya, et al.
Published: (2024)
by: Hatua, Amartya, et al.
Published: (2024)
An Illusion of Unlearning? Assessing Machine Unlearning Through Internal Representations
by: Gao, Yichen, et al.
Published: (2026)
by: Gao, Yichen, et al.
Published: (2026)
FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning
by: Li, Zitong, et al.
Published: (2025)
by: Li, Zitong, et al.
Published: (2025)
Machine Unlearning for Streaming Forgetting
by: Shen, Shaofei, et al.
Published: (2025)
by: Shen, Shaofei, et al.
Published: (2025)
Sharpness-Aware Machine Unlearning
by: Tang, Haoran, et al.
Published: (2025)
by: Tang, Haoran, et al.
Published: (2025)
Fairness and Robustness in Machine Unlearning
by: Tran, Khoa, et al.
Published: (2025)
by: Tran, Khoa, et al.
Published: (2025)
A Review on Machine Unlearning
by: Zhang, Haibo, et al.
Published: (2024)
by: Zhang, Haibo, et al.
Published: (2024)
Towards Natural Machine Unlearning
by: He, Zhengbao, et al.
Published: (2024)
by: He, Zhengbao, et al.
Published: (2024)
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview
by: Karl, Florian, et al.
Published: (2022)
by: Karl, Florian, et al.
Published: (2022)
Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond
by: Wang, Qizhou, et al.
Published: (2025)
by: Wang, Qizhou, et al.
Published: (2025)
Harmonizing Multi-Objective LLM Unlearning via Unified Domain Representation and Bidirectional Logit Distillation
by: Zhong, Yisheng, et al.
Published: (2026)
by: Zhong, Yisheng, et al.
Published: (2026)
GOAL: Graph-based Objective-Aligned Diffusion Solvers for Dynamic Multi-Objective Optimization
by: Li, Xingyu
Published: (2026)
by: Li, Xingyu
Published: (2026)
Adversarial Machine Unlearning
by: Di, Zonglin, et al.
Published: (2024)
by: Di, Zonglin, et al.
Published: (2024)
Deep Unlearn: Benchmarking Machine Unlearning for Image Classification
by: Cadet, Xavier F., et al.
Published: (2024)
by: Cadet, Xavier F., et al.
Published: (2024)
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning
by: Lee, Hong kyu, et al.
Published: (2024)
by: Lee, Hong kyu, et al.
Published: (2024)
OrthAlign: Orthogonal Subspace Decomposition for Non-Interfering Multi-Objective Alignment
by: Lin, Liang, et al.
Published: (2025)
by: Lin, Liang, et al.
Published: (2025)
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning
by: Chien, Eli, et al.
Published: (2024)
by: Chien, Eli, et al.
Published: (2024)
Statistical Roughness-Informed Machine Unlearning
by: Partohaghighi, Mohammad, et al.
Published: (2026)
by: Partohaghighi, Mohammad, et al.
Published: (2026)
On the Impossibility of Retrain Equivalence in Machine Unlearning
by: Yu, Jiatong, et al.
Published: (2025)
by: Yu, Jiatong, et al.
Published: (2025)
Verifiable and Provably Secure Machine Unlearning
by: Eisenhofer, Thorsten, et al.
Published: (2022)
by: Eisenhofer, Thorsten, et al.
Published: (2022)
Efficient Verified Machine Unlearning For Distillation
by: Quan, Yijun, et al.
Published: (2025)
by: Quan, Yijun, et al.
Published: (2025)
Similar Items
-
Massive Dimensions Reduction and Hybridization with Meta-heuristics in Deep Learning
by: Khosrowshahli, Rasa, et al.
Published: (2024) -
A Novel Structure-Agnostic Multi-Objective Approach for Weight-Sharing Compression in Deep Neural Networks
by: Khosrowshahli, Rasa, et al.
Published: (2025) -
Large-scale Multi-objective Feature Selection: A Multi-phase Search Space Shrinking Approach
by: Bidgoli, Azam Asilian, et al.
Published: (2024) -
Optimization Strategies for Enhancing Resource Efficiency in Transformers & Large Language Models
by: Wallace, Tom, et al.
Published: (2025) -
Beyond Morphology: Quantifying the Diagnostic Power of Color Features in Cancer Classification
by: Kheiri, Farnaz, et al.
Published: (2026)