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Machine Unlearning

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Showing 326–350 of 438 papers

TitleStatusHype
Model Integrity when Unlearning with T2I Diffusion Models—0
Moderating the Generalization of Score-based Generative Model—0
MUBox: A Critical Evaluation Framework of Deep Machine Unlearning—0
Multi-Class Unlearning for Image Classification via Weight Filtering—0
MUter: Machine Unlearning on Adversarially Trained Models—0
τ: Gradient-based and Task-Agnostic machine Unlearning—0
Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective—0
Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations—0
Neural Corrective Machine Unranking—0
Node-level Contrastive Unlearning on Graph Neural Networks—0
Noise is All You Need: Private Second-Order Convergence of Noisy SGD—0
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models—0
On Newton's Method to Unlearn Neural Networks—0
On the Limitations and Prospects of Machine Unlearning for Generative AI—0
On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning—0
On the Necessity of Output Distribution Reweighting for Effective Class Unlearning—0
OpenGU: A Comprehensive Benchmark for Graph Unlearning—0
Open Knowledge Base Canonicalization with Multi-task Unlearning—0
Open Problems in Machine Unlearning for AI Safety—0
Orthogonal Soft Pruning for Efficient Class Unlearning—0
Partially Blinded Unlearning: Class Unlearning for Deep Networks a Bayesian Perspective—0
PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models—0
Person De-reidentification: A Variation-guided Identity Shift Modeling—0
PISTOL: Dataset Compilation Pipeline for Structural Unlearning of LLMs—0
PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning—0
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