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cs.LG2025
Rotation Control Unlearning: Quantifying and Controlling Continuous Unlearning for LLM with The Cognitive Rotation Space
Xiang Zhang, Kun Wei, Xu Yang +3
As Large Language Models (LLMs) become increasingly prevalent, their security vulnerabilities have already drawn attention. Machine unlearning is introduced to seek to mitigate the…
cs.LG2024
From Discrete to Continuous: Deep Fair Clustering With Transferable Representations
Xiang Zhang
We consider the problem of deep fair clustering, which partitions data into clusters via the representations extracted by deep neural networks while hiding sensitive data attribute…