machine unlearning

Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation IJCAI 2025 ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models ICCV 2025 ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging. SemEval 2025 Backdoor Attacks via Machine Unlearning AAAI 2024 Black-Box Forgetting NeurIPS 2024 Boosting Alignment for Post-Unlearning Text-to-Image Generative Models NeurIPS 2024 Can Machine Unlearning Reduce Social Bias in Language Models? EMNLP 2024 Can Textual Unlearning Solve Cross-Modality Safety Alignment? EMNLP 2024 Certified Machine Unlearning via Noisy Stochastic Gradient Descent NeurIPS 2024 Countering Relearning with Perception Revising Unlearning ACML 2024 CPR: Retrieval Augmented Generation for Copyright Protection CVPR 2024 Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models EMNLP 2024 CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence NeurIPS 2024 Data Attribution for Text-to-Image Models by Unlearning Synthesized Images NeurIPS 2024 Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning ACL 2024 Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models NeurIPS 2024 Demystifying Verbatim Memorization in Large Language Models EMNLP 2024 Direct Unlearning Optimization for Robust and Safe Text-to-Image Models NeurIPS 2024 Dissecting Fine-Tuning Unlearning in Large Language Models EMNLP 2024 EFUF: Efficient Fine-Grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models EMNLP 2024 Ethos: Rectifying Language Models in Orthogonal Parameter Space NAACL 2024 Fair Machine Unlearning: Data Removal while Mitigating Disparities AISTATS 2024 Fast Machine Unlearning without Retraining through Selective Synaptic Dampening AAAI 2024 Feature Unlearning for Pre-trained GANs and VAEs AAAI 2024 Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity NeurIPS 2024