:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Shah, Raj Sanjay, Huang, Jing, Murugesan, Keerthiram, Baracaldo, Nathalie, Yang, Diyi
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2603.11266
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs
by: Kadhe, Swanand Ravindra, et al.
Published: (2024)

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

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

STARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Models
by: Basavatia, Shreyas, et al.
Published: (2024)

Machine Unlearning under Overparameterization
by: Block, Jacob L., et al.
Published: (2025)

Towards Evaluation for Real-World LLM Unlearning
by: Miao, Ke, et al.
Published: (2025)

Can Vision Models Truly Forget? Mirage: Representation-Level Certification of Visual Unlearning
by: Yu, Zhenyu, et al.
Published: (2026)

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

DP2Unlearning: An Efficient and Guaranteed Unlearning Framework for LLMs
by: Mahmud, Tamim Al, et al.
Published: (2025)

Machine Unlearning with Minimal Gradient Dependence for High Unlearning Ratios
by: Huang, Tao, et al.
Published: (2024)

Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning
by: Yang, Puning, et al.
Published: (2025)

Evaluating the Dynamics of Membership Privacy in Deep Learning
by: Chen, Yuetian, et al.
Published: (2025)

Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-Tuning and Can Be Mitigated by Machine Unlearning
by: Chen, Yiwei, et al.
Published: (2025)

Patching LLM Like Software: A Lightweight Method for Improving Safety Policy in Large Language Models
by: Arif, Huzaifa, et al.
Published: (2025)

Cross-Examiner: Evaluating Consistency of Large Language Model-Generated Explanations
by: Villa, Danielle, et al.
Published: (2025)

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

Context Attribution with Multi-Armed Bandit Optimization
by: Pan, Deng, et al.
Published: (2025)

A Reliable Cryptographic Framework for Empirical Machine Unlearning Evaluation
by: Tu, Yiwen, et al.
Published: (2024)

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

Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases
by: Han, Ling, et al.
Published: (2024)

Unlearners Can Lie: Evaluating and Improving Honesty in LLM Unlearning
by: Gu, Renjie, et al.
Published: (2026)

Unlearning via Sparse Representations
by: Shah, Vedant, et al.
Published: (2023)

Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models
by: Tang, Haoyu, et al.
Published: (2024)

MEOW: MEMOry Supervised LLM Unlearning Via Inverted Facts
by: Gu, Tianle, et al.
Published: (2024)

Highlight All the Phrases: Enhancing LLM Transparency through Visual Factuality Indicators
by: Do, Hyo Jin, et al.
Published: (2025)

LongDA: Benchmarking LLM Agents for Long-Document Data Analysis
by: Li, Yiyang, et al.
Published: (2026)

Towards Aligning Language Models with Textual Feedback
by: Lloret, Saüc Abadal, et al.
Published: (2024)

A Comprehensive Evaluation of LLM Unlearning Robustness under Multi-Turn Interaction
by: Pan, Ruihao, et al.
Published: (2026)

The Limits of Obliviate: Evaluating Unlearning in LLMs via Stimulus-Knowledge Entanglement-Behavior Framework
by: Shah, Aakriti, et al.
Published: (2025)

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

Explainable LLM Unlearning Through Reasoning
by: Liao, Junfeng, et al.
Published: (2026)

DUET: Distilled LLM Unlearning from an Efficiently Contextualized Teacher
by: Zhong, Yisheng, et al.
Published: (2026)

Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
by: Ji, Jiabao, et al.
Published: (2024)

Learn to Unlearn: Meta-Learning-Based Knowledge Graph Embedding Unlearning
by: Xu, Naixing, et al.
Published: (2024)

LLM Unlearning via Neural Activation Redirection
by: Shen, William F., et al.
Published: (2025)

Agents Are All You Need for LLM Unlearning
by: Sanyal, Debdeep, et al.
Published: (2025)

Catastrophic Failure of LLM Unlearning via Quantization
by: Zhang, Zhiwei, et al.
Published: (2024)

Unlink to Unlearn: Simplifying Edge Unlearning in GNNs
by: Tan, Jiajun, et al.
Published: (2024)

Ready2Unlearn: A Learning-Time Approach for Preparing Models with Future Unlearning Readiness
by: Duan, Hanyu, et al.
Published: (2025)

Combinatorial Multi-armed Bandits: Arm Selection via Group Testing
by: Mukherjee, Arpan, et al.
Published: (2024)