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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
Group-robust Machine UnlearningCode0
Blind Baselines Beat Membership Inference Attacks for Foundation ModelsCode0
Machine Unlearning via Null Space CalibrationCode0
Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language ModelsCode0
DUSK: Do Not Unlearn Shared KnowledgeCode0
RESTOR: Knowledge Recovery through Machine UnlearningCode0
LMEraser: Large Model Unlearning through Adaptive Prompt TuningCode0
DUCK: Distance-based Unlearning via Centroid KinematicsCode0
Goldfish: An Efficient Federated Unlearning FrameworkCode0
ReVeil: Unconstrained Concealed Backdoor Attack on Deep Neural Networks using Machine UnlearningCode0
LLM Unlearning Reveals a Stronger-Than-Expected Coreset Effect in Current BenchmarksCode0
Privacy-Aware Lifelong LearningCode0
Rewind-to-Delete: Certified Machine Unlearning for Nonconvex FunctionsCode0
Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient ProjectionCode0
Adaptive Machine UnlearningCode0
Layered Unlearning for Adversarial RelearningCode0
Model State Arithmetic for Machine UnlearningCode0
Zero-Shot Class Unlearning in CLIP with Synthetic SamplesCode0
MU-Bench: A Multitask Multimodal Benchmark for Machine UnlearningCode0
The Privacy Onion Effect: Memorization is RelativeCode0
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image ClassificationCode0
MultiDelete for Multimodal Machine UnlearningCode0
Multi-Objective Large Language Model UnlearningCode0
MUNBa: Machine Unlearning via Nash BargainingCode0
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine UnlearningCode0
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