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Machine Unlearning

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TitleStatusHype
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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