machine unlearning

Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models EMNLP 2024 Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion EMNLP 2024 Generative Unlearning for Any Identity CVPR 2024 Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models ICLR 2024 Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning NeurIPS 2024 Large Language Model Unlearning NeurIPS 2024 Large Language Model Unlearning via Embedding-Corrupted Prompts NeurIPS 2024 Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation AAAI 2024 Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers AAAI 2024 Learn To Unlearn for Deep Neural Networks: Minimizing Unlearning Interference With Gradient Projection WACV 2024 Machine Unlearning: Challenges in Data Quality and Access IJCAI 2024 Machine Unlearning for Image-to-Image Generative Models ICLR 2024 Machine Unlearning of Pre-trained Large Language Models ACL 2024 Machine Unlearning via Null Space Calibration IJCAI 2024 Making Harmful Behaviors Unlearnable for Large Language Models ACL 2024 One-Shot Machine Unlearning with Mnemonic Code ACML 2024 On the Generalization of Training-based ChatGPT Detection Methods EMNLP 2024 Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable NeurIPS 2024 Rethinking Adversarial Robustness in the Context of the Right to be Forgotten ICML 2024 Rethinking Evaluation Methods for Machine Unlearning EMNLP 2024 Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference NeurIPS 2024 Revisiting Who’s Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective EMNLP 2024 RRL: Recommendation Reverse Learning AAAI 2024 SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation ICLR 2024 SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization AISTATS 2024