conftrace_

machine unlearning

290 papers

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Also known as

MU

Co-occurring keywords

large language model (13587) privacy preservation (380) knowledge editing (295) data privacy (108) knowledge distillation (3725) selective forgetting (30) model utility (36) model editing (159) right to be forgotten (24) knowledge removal (20)

Papers

On the Misalignment Between Data Learnability and Forgettability in Machine Unlearning AAAI 2026
From Chaos to Clarity: A Knowledge Graph-Driven Audit Dataset Generation Framework for LLM Unlearning AAAI 2026
Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure AAAI 2026
DIET: Machine Unlearning on a Data-Diet AAAI 2026
DUP: Detection-guided Unlearning for Backdoor Purification in Language Models AAAI 2026
Beyond Superficial Forgetting: Thorough Unlearning Through Knowledge Density Estimation and Block Re-Insertion AAAI 2026
Unintended Memorization of Sensitive Information in Fine-Tuned Language Models EACL 2026
Easy to Learn, Yet Hard to Forget: Towards Robust Unlearning Under Bias AAAI 2026
PAGE: A Unified Approach for Federated Graph Unlearning AAAI 2026
An Information Theoretic Evaluation Metric for Strong Unlearning AAAI 2026
FedShard: Federated Unlearning with Efficiency Fairness and Performance Fairness AAAI 2026
REMISVFU: Vertical Federated Unlearning via Representation Misdirection for Intermediate Output Feature AAAI 2026
A Robust Unlearning Method with Adaptive Knowledge Guidance and Memory Preservation AAAI 2026
AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models AAAI 2026
CLUE: Bringing Machine Unlearning to Mobile Devices WACV 2026
Multilingual Amnesia: On the Transferability of Unlearning in Multilingual LLMs EACL 2026
BLUR: A Bi-Level Optimization Approach for LLM Unlearning EACL 2026
TUNE: A Task For Turkish Machine Unlearning For Data Privacy EACL 2026
PeriUn: Enhancing Unlearning by Selectively Forgetting Peripheral Samples AAAI 2026
Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks AAAI 2026
Forget What Has Seen: Selective Concept Unlearning in Segmentation Foundation Models AAAI 2026
Forgetting by Pruning: Data Deletion in Join Cardinality Estimation AAAI 2026
Beyond Binary Erasure: Soft-Weighted Unlearning for Fairness and Robustness AAAI 2026
Injection, Attack and Erasure: Revocable Backdoor Attacks via Machine Unlearning AAAI 2026
Large Language Model Unlearning for Source Code AAAI 2026