:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Hu, Shengyuan, Kale, Neil, Thaker, Pratiksha, Fu, Yiwei, Wu, Steven, Smith, Virginia
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2506.15699
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Position: LLM Unlearning Benchmarks are Weak Measures of Progress
por: Thaker, Pratiksha, et al.
Publicado: (2024)

Membership Inference Attacks for Unseen Classes
por: Thaker, Pratiksha, et al.
Publicado: (2025)

Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning
por: Hu, Shengyuan, et al.
Publicado: (2024)

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference
por: Liu, Terrance, et al.
Publicado: (2025)

Guardrail Baselines for Unlearning in LLMs
por: Thaker, Pratiksha, et al.
Publicado: (2024)

PARALLELPROMPT: Extracting Parallelism from Large Language Model Queries
por: Kolawole, Steven, et al.
Publicado: (2025)

On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift
por: Thaker, Pratiksha, et al.
Publicado: (2023)

Towards Mitigating Excessive Forgetting in LLM Unlearning via Entanglement-Guidance with Proxy Constraint
por: Liu, Zhihao, et al.
Publicado: (2025)

SHRED: Retain-Set-Free Unlearning via Self-Distillation with Logit Demotion
por: Hu, Zizhao, et al.
Publicado: (2026)

FIT to Forget: Robust Continual Unlearning for Large Language Models
por: Xu, Xiaoyu, et al.
Publicado: (2026)

LLM Unlearning via Loss Adjustment with Only Forget Data
por: Wang, Yaxuan, et al.
Publicado: (2024)

Forget and Explain: Transparent Verification of GNN Unlearning
por: Ahsan, Imran, et al.
Publicado: (2025)

BLUR: A Bi-Level Optimization Approach for LLM Unlearning
por: Reisizadeh, Hadi, et al.
Publicado: (2025)

Unlearned but Not Forgotten: Data Extraction after Exact Unlearning in LLM
por: Wu, Xiaoyu, et al.
Publicado: (2025)

Don't Forget It! Conditional Sparse Autoencoder Clamping Works for Unlearning
por: Khoriaty, Matthew, et al.
Publicado: (2025)

Stable Forgetting: Bounded Parameter-Efficient Unlearning in Foundation Models
por: Garg, Arpit, et al.
Publicado: (2025)

Forgetting is Competition: Rethinking Unlearning as Representation Interference in Diffusion Models
por: Ranjan, Ashutosh, et al.
Publicado: (2026)

FaLW: A Forgetting-aware Loss Reweighting for Long-tailed Unlearning
por: Yu, Liheng, et al.
Publicado: (2026)

OPC: One-Point-Contraction Unlearning Toward Deep Feature Forgetting
por: Jung, Jaeheun, et al.
Publicado: (2025)

Machine Unlearning using Forgetting Neural Networks
por: Hatua, Amartya, et al.
Publicado: (2024)

Robust LLM Unlearning with MUDMAN: Meta-Unlearning with Disruption Masking And Normalization
por: Sondej, Filip, et al.
Publicado: (2025)

Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning
por: Fan, Chongyu, et al.
Publicado: (2024)

Distill, Forget, Repeat: A Framework for Continual Unlearning in Text-to-Image Diffusion Models
por: George, Naveen, et al.
Publicado: (2025)

SAEs $\textit{Can}$ Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs
por: Muhamed, Aashiq, et al.
Publicado: (2025)

Deep Unlearn: Benchmarking Machine Unlearning for Image Classification
por: Cadet, Xavier F., et al.
Publicado: (2024)

Beyond Sharp Minima: Robust LLM Unlearning via Feedback-Guided Multi-Point Optimization
por: Wu, Wenhan, et al.
Publicado: (2025)

Forgetting-MarI: LLM Unlearning via Marginal Information Regularization
por: Xu, Shizhou, et al.
Publicado: (2025)

Synthetic Forgetting without Access: A Few-shot Zero-glance Framework for Machine Unlearning
por: Song, Qipeng, et al.
Publicado: (2025)

Machine Unlearning under Retain-Forget Entanglement
por: Cheng, Jingpu, et al.
Publicado: (2026)

Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills
por: Wang, Changsheng, et al.
Publicado: (2025)

Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images
por: Bonato, Jacopo, et al.
Publicado: (2024)

Forgetting Any Data at Any Time: A Theoretically Certified Unlearning Framework for Vertical Federated Learning
por: Wang, Linian, et al.
Publicado: (2025)

ACU: Analytic Continual Unlearning for Efficient and Exact Forgetting with Privacy Preservation
por: Tang, Jianheng, et al.
Publicado: (2025)

Forget What Matters, Keep the Rest: Selective Unlearning of Informative Tokens
por: Koh, Seunghee, et al.
Publicado: (2026)

Generate-then-Verify: Reconstructing Data from Limited Published Statistics
por: Liu, Terrance, et al.
Publicado: (2025)

Beyond Superficial Forgetting: Thorough Unlearning through Knowledge Density Estimation and Block Re-insertion
por: Guo, Feng, et al.
Publicado: (2025)

Governing AI Forgetting: Auditing for Machine Unlearning Compliance
por: Lin, Qinqi, et al.
Publicado: (2026)

Agentic Unlearning: When LLM Agent Meets Machine Unlearning
por: Wang, Bin, et al.
Publicado: (2026)

A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks
por: Kolipaka, Varshita, et al.
Publicado: (2024)

Data Unlearning Beyond Uniform Forgetting via Diffusion Time and Frequency Selection
por: Park, Jinseong, et al.
Publicado: (2025)