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cs.CR2026
TRACE: Data-Free Text Reconstruction Attacks against Approximate Unlearning in LLMs
Mengying Zhang, Derui Wang, Ibrahim Khalil +3
As large language models (LLMs) face growing demands for data removal driven by regulatory compliance, copyright concerns, and privacy protection, approximate unlearning has emerge…
cs.CR2023
Reinforcement Unlearning
Dayong Ye, Tianqing Zhu, Congcong Zhu +6
Machine unlearning refers to the process of mitigating the influence of specific training data on machine learning models based on removal requests from data owners. However, one i…