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Machine Unlearning

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TitleStatusHype
Preserving Privacy Without Compromising Accuracy: Machine Unlearning for Handwritten Text Recognition—0
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning—0
Privacy Adhering Machine Un-learning in NLP—0
Privacy Preservation through Practical Machine Unlearning—0
Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearning—0
Promoting User Data Autonomy During the Dissolution of a Monopolistic Firm—0
Prompting Forgetting: Unlearning in GANs via Textual Guidance—0
Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models—0
Machine Unlearning in Hyperbolic vs. Euclidean Multimodal Contrastive Learning: Adapting Alignment Calibration to MERUCode0
Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-TuningCode0
Verifying Machine Unlearning with Explainable AICode0
Dissecting Language Models: Machine Unlearning via Selective PruningCode0
Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine UnlearningCode0
Descent-to-Delete: Gradient-Based Methods for Machine UnlearningCode0
Machine Unlearning for Document ClassificationCode0
Machine Unlearning Fails to Remove Data Poisoning AttacksCode0
Machine UnlearningCode0
Towards Robust Evaluation of Unlearning in LLMs via Data TransformationsCode0
Certified Machine Unlearning via Noisy Stochastic Gradient DescentCode0
LoRA Unlearns More and Retains More (Student Abstract)Code0
Dataset Condensation Driven Machine UnlearningCode0
Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of PrivacyCode0
Boosting Alignment for Post-Unlearning Text-to-Image Generative ModelsCode0
Inductive Graph UnlearningCode0
DynFrs: An Efficient Framework for Machine Unlearning in Random ForestCode0
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