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Machine Unlearning

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Showing 251–300 of 438 papers

TitleStatusHype
CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation—0
Mitigating Sensitive Information Leakage in LLMs4Code through Machine Unlearning—0
Mitigating Social Biases in Language Models through Unlearning—0
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning—0
Model Integrity when Unlearning with T2I Diffusion Models—0
CodeUnlearn: Amortized Zero-Shot Machine Unlearning in Language Models Using Discrete Concept—0
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate—0
Moderating the Generalization of Score-based Generative Model—0
Alignment Calibration: Machine Unlearning for Contrastive Learning under Auditing—0
MUBox: A Critical Evaluation Framework of Deep Machine Unlearning—0
Multi-Class Unlearning for Image Classification via Weight Filtering—0
A hybrid framework for effective and efficient machine unlearning—0
Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases—0
Unlearning in- vs. out-of-distribution data in LLMs under gradient-based method—0
Coded Machine Unlearning—0
Adversarial Machine Unlearning—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
CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP—0
Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations—0
Neural Corrective Machine Unranking—0
Adapt then Unlearn: Exploiting Parameter Space Semantics for Unlearning in Generative Adversarial Networks—0
Node-level Contrastive Unlearning on Graph Neural Networks—0
Noise is All You Need: Private Second-Order Convergence of Noisy SGD—0
A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models—0
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models—0
Unlearning Trojans in Large Language Models: A Comparison Between Natural Language and Source Code—0
Unlearning with Control: Assessing Real-world Utility for Large Language Model Unlearning—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
Unlearning with Fisher Masking—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
A Comparative Study of Machine Unlearning Techniques for Image and Text Classification Models—0
Class Machine Unlearning for Complex Data via Concepts Inference and Data Poisoning—0
Challenges and Pitfalls of Bayesian Unlearning—0
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
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