conftrace_

machine unlearning

290 papers

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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

iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss ACL 2025
GUIR at SemEval-2025 Task 4: Adaptive Weight Tuning with Gradual Negative Matching for LLM Unlearning ACL 2025
Adversarial Machine Unlearning ICLR 2025
NeuroReset : LLM Unlearning via Dual Phase Mixed Methodology ACL 2025
ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging. ACL 2025
Certified Machine Unlearning Under High Dimensional Regime JMLR 2025
Decoupling Memories, Muting Neurons: Towards Practical Machine Unlearning for Large Language Models ACL 2025
REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space ACL 2025
Unlearning vs. Obfuscation: Are We Truly Removing Knowledge? EMNLP 2025
Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy IJCAI 2025
Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective AAAI 2025
Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts ICCV 2025
Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design ICCV 2025
LoRA Unlearns More and Retains More (Student Abstract) AAAI 2025
SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness AAAI 2025
Moderating the Generalization of Score-based Generative Model ICCV 2025
Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy ICCV 2025
ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models ICCV 2025
NEKO at SemEval-2025 Task 4: A Gradient Ascent Based Machine Unlearning Strategy ACL 2025
Zero-Shot Class Unlearning in CLIP with Synthetic Samples WACV 2025
Learning to Refuse: Towards Mitigating Privacy Risks in LLMs COLING 2025
Knowledge Graph Unlearning with Schema COLING 2025
Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models COLING 2025
Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning ICCV 2025
Efficient Unlearning for Spatio-temporal Graph (Student Abstract) AAAI 2025